Python Developer Jobs in Saudi

Software Development Manager – Reef Holding <br>We’re Hiring: Software Development Manager Location: Riyadh, Saudi Arabia Job Type: Full-Time<br>About Reef Holding:Reef Holding is accelerating its digital transformation by developing scalable and innovative technology solutions that support business growth and operational excellence. We are currently seeking an experienced and highly capable Software Development Manager to lead software engineering initiatives and oversee the delivery of high-quality enterprise applications.<br>About the Role:As a Software Development Manager, you will be responsible for leading all software development activities, from requirements analysis and solution design to development, testing, deployment, and ongoing enhancement. You will manage development teams, ensure alignment with business objectives, and deliver secure, scalable, and integrated software solutions that support the company’s digital transformation strategy.<br>Key Responsibilities:<br>Software Development Leadership:Lead the full Software Development Life Cycle (SDLC), including requirements gathering, system design, development, testing, deployment, and support Manage and mentor software development teams, assign tasks, monitor performance, and ensure adherence to timelines and quality standards Establish operational plans and prioritize software projects based on business impact and strategic objectives<br>Solution Architecture & Systems Integration:Participate in designing software architecture and technical solutions that integrate with enterprise platforms such as ERP, CRM, POS, and e-commerce systems Ensure scalable and maintainable system designs aligned with company technology standards and digital governance policies Oversee API integrations and ensure reliable and secure data exchange across systems<br>Development Methodologies & Quality Assurance:Drive adoption of Agile and Dev Ops methodologies to improve development efficiency and collaboration Oversee software testing and quality assurance activities to ensure stable and reliable releases Manage version control, release management, and technical documentation throughout the development lifecycle<br>Application Performance & Security:Monitor application performance after deployment, analyze incidents, and implement continuous improvements Ensure adherence to application security standards, data protection requirements, and code quality practices Identify and manage technical risks and develop mitigation plans<br>Cross-Functional Collaboration & Innovation:Work closely with business and technology teams to translate operational needs into scalable software solutions Coordinate with infrastructure, applications, and IT teams to ensure development environments are fully prepared Evaluate new technologies, tools, and platforms to support innovation and digital transformation Develop team capabilities through coaching, training, and knowledge sharing<br>Reporting & Performance Monitoring:Prepare regular reports on project progress, delivery milestones, and key performance indicators Track team productivity and ensure compliance with approved development methodologies and governance standards<br>Qualifications:Bachelor’s degree in computer science, Software Engineering, Information Technology, or a related field7–9 years of relevant experience in software development and engineering leadership Strong understanding of Software Development Life Cycle (SDLC) and enterprise application architecture Experience with programming languages and frameworks such as . NET, Java Script, and Python Hands-on experience with Agile, Dev Ops, APIs, and systems integration<br>Preferred Certifications:PMP or Agile Project Management certification Microsoft Certified: Azure Developer or equivalent Full Stack Development certification Advanced training in System Architecture Design, QA & Testing, and Application Security<br>Language Requirements:Fluency in Arabic and English<br>Performance Measurement:Performance will be evaluated based on delivery of software projects on schedule, application quality and stability, alignment of solutions with business requirements, team productivity, and compliance with application security and software governance standards.<br>Why Join Reef Holding? At Reef Holding, you will lead the development of technology solutions that directly support strategic growth and operational excellence. This role offers the opportunity to shape the company’s digital platforms, mentor talented engineering teams, and drive innovation across the organization.

Job Title –Teradata Developer & Data Lakehouse Application Support Engineer Company – TCS (MEA) Location – Jeddah, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Key Responsibilities<br>Platform Administration & Operations<br>Install, configure, and maintain Teradata Vantage (17.x) environments across Intelli Flex and virtualized platforms. Manage system components including Viewpoint, Query Grid, Data Mover, BCM, and Data Stream Utility. Administer Teradata servers running on Intelli Flex appliances and VMware (non-prod environments). Monitoring & Performance Management Monitor system health, query performance, and resource utilization using Teradata Viewpoint. Identify and resolve performance bottlenecks related to queries, workloads, and system resources. Implement workload management (TASM) and query optimization strategies. Backup, Recovery & Business Continuity Configure and manage backup and recovery using Teradata Data Stream Utility. Support disaster recovery setup and failover processes using Business Continuity Manager (BCM). Ensure data availability and minimal downtime during failures or maintenance activities. Data Movement & Integration Manage and support data replication, migration, and refresh using Data Mover. Enable cross-platform data access using Query Grid for seamless analytics. Support integration with external systems via APIs, CLIv2, and S3 interfaces. Security & Access Management Implement and manage database security, user roles, and access controls. Ensure compliance with enterprise security policies and audit requirements. Patch Management & Upgrades Perform platform upgrades, patches, and system maintenance aligned with n-1 version standards. Ensure compatibility and stability of all Teradata ecosystem components. Platform Support & Troubleshooting Provide L2/L3 support for production and non-production environments. Troubleshoot system, database, and infrastructure-related issues. Work closely with application, ETL, and analytics teams for issue resolution. Analytics & Advanced Capabilities Support Support Clear Scape Analytics and AI Nodes for advanced analytics and ML workloads. Enable integration with tools like Python, R, and Model Ops frameworks. System Management & Utilities Manage CMIC and Service Workstation (SWS) for system diagnostics, monitoring, and service operations. Maintain logs, system inventory, and diagnostic data for support and auditing.<br>Required Skills & Experience Strong experience in Teradata Database Administration (Vantage 16/17.x)5–10 years of relevant Teradata platform support experience Hands-on experience with: Teradata Viewpoint, Query Grid, Data Mover, BCMIntelli Flex platform and VMware environments Backup & recovery tools (Data Stream Utility) Proficiency in SQL, performance tuning, and workload management Knowledge of Linux/Unix systems and shell scripting Experience with REST APIs, CLIv2, and data integration tools<br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br>Application Deadline: 20- August -2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Reports to: VP Engineering<br>About Wake Cap<br>Wake Cap builds the connected-worker platform for large-scale construction and industrial sites. Our hardware (smart helmets, anchors, gateways) feeds a real-time Saa S platform that gives site teams worker location, safety compliance, automated mustering, and productivity analytics. We operate across major projects in the GCC.<br>About the Role<br>WC3 is our 3.0 platform: the Saa S core connecting IoT hardware to customer workflows. It is pre-launch and in active formation, modeled on ontology-driven, pipeline-first patterns, and built to serve AI agents as first-class users alongside humans.<br>As WC3 Squad Lead, you own the platform end to end. You set the architecture, build and lead the team, and hold the engineering quality bar. You lead a small, senior group with high autonomy and direct product impact.<br>What You'll Own<br>- Architecture across the platform: data ontology and semantic layer, pipelines and lineage, streaming backbone, developer SDK and API surface, authorization and governance, application layer, and Dev Ops.- Hiring end to end: define the bar, run the process, make the decisions.- Team performance and culture: clear expectations, direct feedback, meaningful reviews, decisive action when the bar is not met.- The AIP layer: agent runtime, MCP surface, and AI-powered features, behind an accepted architecture decision.- Delivery: sprint planning, agile ceremonies, and translating the roadmap into shippable increments with Product.<br>What We're Looking For<br>- 10+ years in software engineering, with clear progression from senior IC to engineering leadership.- 5+ years directly managing engineers: leading teams, owning hiring, running performance cycles. Leading a project is not the same as leading a team.- Proven design and delivery of scalable, multi-tenant Saa S or large-scale distributed systems in production, including the hard parts (incidents, migrations, scaling failures).- Experience with ontology-driven, governed data platforms: Palantir Foundry/AIP, Databricks Unity Catalog, or equivalent. Direct Foundry/AIP experience is heavily weighted. What matters most is that you think in the patterns: ontologies, pipelines, lineage, governed SDK surfaces, and an application layer on top.- Strong in C#/. NET, with real fluency across other backends (Go, Python, Java, Node.js). Opinionated on trade-offs, not attached to one stack.- Frontend depth in Type Script with a modern framework; API design (REST/Graph QL); databases across relational, time-series, and vector stores; cloud (GCP and/or AWS), Docker/Kubernetes, Terraform, CI/CD.- LLM integration patterns: RAG, tool/function calling, MCP serving, agent runtime design, output evaluation.- Daily hands-on use of Claude Code and Codex in real engineering work, with grounded awareness of the current AI model landscape.- Exceptional written and spoken English. This is a hard requirement.<br>Nice-to-Have<br>- Direct hands-on Foundry/AIP builds.- Agentic frameworks (Lang Chain, Llama Index, Auto Gen) and multi-agent orchestration.- IoT or connected-device data ingestion.- Enterprise integrations (SSO, ERP/PM systems such as Oracle or Procore).- Construction, industrial, or field-operations software.- KSA/CST data residency, ISO 27001, SOC 2.<br>What We Offer<br>- Competitive salary, performance bonus, and equity.- High-autonomy role building a platform from the ground up, your name on the architecture.- Relocation support for candidates joining from outside KSA.- Health insurance, annual flights, and standard Wake Cap benefits.

IGA are partnering with a highly entrepreneurial global investment group to hire into their growing Insurance Solutions team based in Riyadh. This is a rare opportunity for an actuarial professional to move beyond the traditional insurance environment and into a genuinely commercial, buy-side role focused on capital optimisation, investment structuring and institutional investor solutions across emerging markets.<br>Would you be open to exploring an opportunity with a leading emerging markets investment platform, where actuarial expertise sits at the centre of investment strategy, portfolio construction and insurance capital solutions? Are you looking to apply your technical skillset in a more strategic, front-office aligned environment with direct exposure to investors, structuring and global markets?<br>Our client is a globally recognised investment group specialising in emerging markets private credit, trade finance and special situations investing. With deep expertise across Africa, the Middle East and other growth markets, the firm combines institutional investment discipline with local market knowledge to deliver differentiated investment opportunities for global investors. As part of the continued growth of their Insurance Solutions platform, they are looking to hire a qualified or near-qualified actuary into a highly visible role supporting insurance-sector investors, capital structuring and portfolio optimisation initiatives. This is an opportunity to work at the intersection of actuarial science, investment management and strategic capital advisory — within a dynamic and internationally focused environment.<br>In this role, you will:<br>Take ownership of risk-based capital and regulatory capital modelling across insurance-backed investment strategies Support asset-liability management (ALM) analysis, including duration matching, liquidity considerations and balance-sheet optimisation Partner closely with investment, structuring and risk teams to assess capital efficiency and portfolio suitability for insurer and reinsurer investors Contribute to investor engagement and marketing discussions with insurance-sector LPs, acting as a technical subject-matter expert on capital and regulatory considerations Support the development of innovative insurance-focused investment structures across private credit and broader alternative investment strategies Play a key role in stress testing, scenario analysis and portfolio oversight, helping shape investment decisions through a capital and solvency lens<br>What we’re looking for:<br>A qualified or near-qualified actuary (IFoA, SOA or equivalent) Experience within insurance, reinsurance, actuarial consulting or insurance-focused asset management environments Strong technical expertise in risk-based capital modelling, economic capital or regulatory capital frameworks A solid understanding of insurance asset-liability management principles and balance-sheet dynamics Strong quantitative and analytical skills, with exposure to Excel and ideally Python, R or VBA An individual who wants to apply actuarial expertise in a broader commercial and investment-led environment Excellent communication skills, with the ability to articulate technical concepts to both investors and non-actuarial stakeholders<br>What makes this unique:<br>A genuinely buy-side actuarial opportunity with direct exposure to investment strategy and portfolio construction The chance to move beyond traditional pricing and reserving work into a more commercial, strategic role Exposure to global emerging markets and complex investment structures within a highly entrepreneurial environment Close interaction with front-office investment professionals, institutional investors and senior leadership A platform that combines technical excellence with international growth and long-term strategic ambition<br>If this sounds like something you’d like to explore further, reach out for a confidential discussion.<br>We look forward to hearing from you.

Are you an experienced Embedded Hardware with a strong background in embedded systems, PCB design, and power electronics? Do you possess hands-on expertise in diagnostics, circuit design, and firmware development? If you have a minimum of 5 years of industry experience, proficiency in design tools such as Altium or KiCad, and excellent collaboration skills, we invite you to join our client’s engineering team in Abqaiq, Eastern Province, Saudi Arabia<br>Candidates must have relevant work experience in the Metal Manufacturing & Fabrication, Pipe Coating, Heavy Engineering, or Industrial Manufacturing sectors.<br>Key Responsibilities:<br>Design, develop, and optimize electronic and embedded hardware systems, ensuring robust, reliable, and scalable solutions. Design and develop analog and digital electrical/electronic circuits. (Mandatory) Create schematics, PCB layouts, and Gerber files using CAD tools such as Altium Designer and KiCad. (Mandatory) Perform manual circuit analysis and simulation using SPICE or equivalent simulation tools. (Mandatory) Develop and integrate embedded systems using microcontrollers such as ARM, PIC, and AVR. Develop embedded firmware using C, C++, and Python. Design and integrate power electronic circuits, including DC-DC converters, motor drivers, and power management systems. Build, assemble, solder, and test electronic prototypes. Perform board-level and full-system testing and troubleshooting using oscilloscopes, multimeters, logic analyzers, and other electronic diagnostic equipment. (Mandatory) Design, prepare, and interpret wiring diagrams and cable harnesses. (Mandatory) Demonstrate strong knowledge of analog and digital circuit design, signal processing, and power management. Work with communication protocols including SPI, I2C, UART, and CAN. Ensure compliance with IPC standards and electronics manufacturing best practices. Prepare and maintain technical documentation, including schematics, specifications, test procedures, reports, engineering change records, and controlled revisions. (Mandatory) Collaborate with electrical, mechanical, and manufacturing teams to ensure successful product integration and manufacturability. Apply strong analytical and problem-solving skills to resolve engineering challenges.<br>Required Education/ Qualification/ Experience: <br>Bachelor's Degree in Electrical Engineering, Electronics Engineering, or a related field. Minimum 5–8 years of experience in electronic hardware design, embedded systems, PCB design, testing, and product development Electrical Hardware & Circuit Design: Experience designing analog and digital electrical/electronic circuits. PCB Design & Development: Hands-on experience with schematic capture, PCB layout, and Gerber file generation. Circuit Analysis & Simulation: Proficient in manual circuit analysis and simulation using SPICE or similar tools. Testing & Troubleshooting: Experience performing board-level and full-system testing using electronic test equipment. Wiring Diagrams & Cable Harness Design: Ability to prepare and interpret wiring diagrams and cable harness documentation. Technical Documentation: Experience creating and maintaining schematics, specifications, test procedures, reports, and engineering documentation with revision control. Attention to Detail: Demonstrates accuracy in technical work, documentation, testing, and follow-up. Accountability & Ownership: Takes full responsibility for assigned tasks, delivers quality work, and follows through to completion.<br>Location: Abqaiq, Eastern Province, Saudi Arabia Type of Employment: Permanent / Full-time Salary: SAR 9000 - 9500/Month<br>What You Can Expect from the Employer:SAR 675/- paid against food allowance. Medical insurance Paid annual leave Annual flight ticket to home country. Family status after a year. Visa & entry ticket provided if you are not in Saudi. End-of-service benefits as per Saudi labor law. Professional development and training opportunities. Collaborative and innovation-driven work environment

Key Accountability Areas<br>BI, Data Visualization & AI-based Automations Design, build, and maintain scalable dashboards and automated reporting pipelines covering fleet performance, delivery speed, order stacking, cost per delivery, and rider utilization Own the end-to-end data lifecycle: from raw data extraction (SQL, Big Query) through to business-ready visualizations (Tableau, Looker, Data Studio) Automate recurring logistics reports to reduce manual data pulling and free leadership time for decision-making Develop predictive models and forecasting tools for demand planning, supply crunch detection, and staffing efficiency Translate complex, large-scale datasets into clear, actionable recommendations for logistics and operations stakeholders <br>Logistics Optimization and Utilization Reduce delivery time across all stages: from order dispatch through to delivery, by identifying bottlenecks across the multiple DT sub-metrics Collaborate with dispatching and algorithm teams to enhance order assignment logic and improve on-time delivery rates Monitor and improve order stacking efficiency without compromising delivery SLAsTrack NPS and customer experience metrics tied to logistics performance, identifying drivers of dissatisfaction Own analysis of logistics failures across vendor operations, rider operations, and customer touchpoints; recommend and execute fixes Collaborate with workforce planning to optimise shift models, staffing levels, and on-demand-to-shift model transitions Identify demand patterns and partner with growth and marketing teams to improve forecasting accuracy Support rider hiring, onboarding, and payment process analysis to reduce attrition and improve supply reliability<br>Product Operations – Local & Global Rollouts Act as the logistics liaison between local business stakeholders, local operations teams, and global product teams Gather operational pain points, feature requests, and platform feedback; translate these into structured business cases for product prioritisation Lead go-to-market (GTM) execution for new logistics initiatives: coordinating timelines, stakeholders, training materials, and deployment playbooks. Support rollout and adoption of tools, ensuring operational readiness and post-launch performance tracking Track rollout KPIs, adoption rates, and feedback loops, and present findings to product and logistics leadership<br>Logistics Issue Resolution & Stakeholder Support Serve as the first escalation point for logistics issues: diagnosing root causes, mobilizing fixes, and communicating resolution timelines. Manage performance during high-demand periods, including holidays, national days, and weekends, with proactive monitoring frameworks. Coordinate with central/regional logistics and product teams (e.g. Delivery Hero central) to implement platform-wide improvements locally. Minimize wastage per order through operational audits and targeted efficiency initiatives. Provide training, change management support, and communications for stakeholder transitions tied to new logistics models or tools<br>QUALIFICATIONS/REQUIREMENTS<br>Knowledge and Experience5–8 years of experience in logistics analytics, operations, product operations, or a related field, preferably within food delivery, quick commerce, or a high-growth tech platform. Proven track record in at least two of: BI/analytics delivery, logistics optimization, and product rollout execution. Experience working in multi-market or global organizations with cross-functional, matrixed team structures. Exposure to rider/fleet operations, last-mile delivery dynamics, and demand-supply management is strongly preferred Exposure to A/B testing frameworks and statistical significance analysis in an operational context. Advanced SQL proficiency, can write complex queries from scratch and independently pull your own data. Strong experience with data visualization platforms: Tableau, Looker, Google Data Studio, or equivalent. Comfortable with Python or R for automation, modeling, or data transformation. Familiarity with project management and collaboration tools: Jira, Confluence, Notion, Asana <br>Education and Certifications Bachelor's degree in Engineering, Supply Chain, Operations Management, Data Science, Computer Science, or a related quantitative field. Master's degree in a relevant field is a plus

IGA are partnering with a highly entrepreneurial global investment group to hire into their growing Insurance Solutions team based in Riyadh. This is a rare opportunity for an actuarial professional to move beyond the traditional insurance environment and into a genuinely commercial, buy-side role focused on capital optimisation, investment structuring and institutional investor solutions across emerging markets.<br>Would you be open to exploring an opportunity with a leading emerging markets investment platform, where actuarial expertise sits at the centre of investment strategy, portfolio construction and insurance capital solutions? Are you looking to apply your technical skillset in a more strategic, front-office aligned environment with direct exposure to investors, structuring and global markets?<br>Our client is a globally recognised investment group specialising in emerging markets private credit, trade finance and special situations investing. With deep expertise across Africa, the Middle East and other growth markets, the firm combines institutional investment discipline with local market knowledge to deliver differentiated investment opportunities for global investors. As part of the continued growth of their Insurance Solutions platform, they are looking to hire a qualified or near-qualified actuary into a highly visible role supporting insurance-sector investors, capital structuring and portfolio optimisation initiatives. This is an opportunity to work at the intersection of actuarial science, investment management and strategic capital advisory — within a dynamic and internationally focused environment.<br>In this role, you will:<br>Take ownership of risk-based capital and regulatory capital modelling across insurance-backed investment strategies Support asset-liability management (ALM) analysis, including duration matching, liquidity considerations and balance-sheet optimisation Partner closely with investment, structuring and risk teams to assess capital efficiency and portfolio suitability for insurer and reinsurer investors Contribute to investor engagement and marketing discussions with insurance-sector LPs, acting as a technical subject-matter expert on capital and regulatory considerations Support the development of innovative insurance-focused investment structures across private credit and broader alternative investment strategies Play a key role in stress testing, scenario analysis and portfolio oversight, helping shape investment decisions through a capital and solvency lens<br>What we’re looking for:<br>A qualified or near-qualified actuary (IFoA, SOA or equivalent) Experience within insurance, reinsurance, actuarial consulting or insurance-focused asset management environments Strong technical expertise in risk-based capital modelling, economic capital or regulatory capital frameworks A solid understanding of insurance asset-liability management principles and balance-sheet dynamics Strong quantitative and analytical skills, with exposure to Excel and ideally Python, R or VBA An individual who wants to apply actuarial expertise in a broader commercial and investment-led environment Excellent communication skills, with the ability to articulate technical concepts to both investors and non-actuarial stakeholders<br>What makes this unique:<br>A genuinely buy-side actuarial opportunity with direct exposure to investment strategy and portfolio construction The chance to move beyond traditional pricing and reserving work into a more commercial, strategic role Exposure to global emerging markets and complex investment structures within a highly entrepreneurial environment Close interaction with front-office investment professionals, institutional investors and senior leadership A platform that combines technical excellence with international growth and long-term strategic ambition<br>If this sounds like something you’d like to explore further, reach out for a confidential discussion.<br>We look forward to hearing from you.

Software Development Manager – Reef Holding <br>We’re Hiring: Software Development Manager Location: Riyadh, Saudi Arabia Job Type: Full-Time<br>About Reef Holding:Reef Holding is accelerating its digital transformation by developing scalable and innovative technology solutions that support business growth and operational excellence. We are currently seeking an experienced and highly capable Software Development Manager to lead software engineering initiatives and oversee the delivery of high-quality enterprise applications.<br>About the Role:As a Software Development Manager, you will be responsible for leading all software development activities, from requirements analysis and solution design to development, testing, deployment, and ongoing enhancement. You will manage development teams, ensure alignment with business objectives, and deliver secure, scalable, and integrated software solutions that support the company’s digital transformation strategy.<br>Key Responsibilities:<br>Software Development Leadership:Lead the full Software Development Life Cycle (SDLC), including requirements gathering, system design, development, testing, deployment, and support Manage and mentor software development teams, assign tasks, monitor performance, and ensure adherence to timelines and quality standards Establish operational plans and prioritize software projects based on business impact and strategic objectives<br>Solution Architecture & Systems Integration:Participate in designing software architecture and technical solutions that integrate with enterprise platforms such as ERP, CRM, POS, and e-commerce systems Ensure scalable and maintainable system designs aligned with company technology standards and digital governance policies Oversee API integrations and ensure reliable and secure data exchange across systems<br>Development Methodologies & Quality Assurance:Drive adoption of Agile and Dev Ops methodologies to improve development efficiency and collaboration Oversee software testing and quality assurance activities to ensure stable and reliable releases Manage version control, release management, and technical documentation throughout the development lifecycle<br>Application Performance & Security:Monitor application performance after deployment, analyze incidents, and implement continuous improvements Ensure adherence to application security standards, data protection requirements, and code quality practices Identify and manage technical risks and develop mitigation plans<br>Cross-Functional Collaboration & Innovation:Work closely with business and technology teams to translate operational needs into scalable software solutions Coordinate with infrastructure, applications, and IT teams to ensure development environments are fully prepared Evaluate new technologies, tools, and platforms to support innovation and digital transformation Develop team capabilities through coaching, training, and knowledge sharing<br>Reporting & Performance Monitoring:Prepare regular reports on project progress, delivery milestones, and key performance indicators Track team productivity and ensure compliance with approved development methodologies and governance standards<br>Qualifications:Bachelor’s degree in computer science, Software Engineering, Information Technology, or a related field7–9 years of relevant experience in software development and engineering leadership Strong understanding of Software Development Life Cycle (SDLC) and enterprise application architecture Experience with programming languages and frameworks such as . NET, Java Script, and Python Hands-on experience with Agile, Dev Ops, APIs, and systems integration<br>Preferred Certifications:PMP or Agile Project Management certification Microsoft Certified: Azure Developer or equivalent Full Stack Development certification Advanced training in System Architecture Design, QA & Testing, and Application Security<br>Language Requirements:Fluency in Arabic and English<br>Performance Measurement:Performance will be evaluated based on delivery of software projects on schedule, application quality and stability, alignment of solutions with business requirements, team productivity, and compliance with application security and software governance standards.<br><br>Why Join Reef Holding? At Reef Holding, you will lead the development of technology solutions that directly support strategic growth and operational excellence. This role offers the opportunity to shape the company’s digital platforms, mentor talented engineering teams, and drive innovation across the organization.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.<br> The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.<br> This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.<br> The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.<br> AI Platform Engineering Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions Build modular and reusable AI services and APIs Develop AI-powered workflow automation systems and intelligent orchestration pipelines Design and implement scalable backend architectures supporting AI workloads Agentic AI Development Build autonomous and semi-autonomous AI agents Develop multi-agent orchestration workflows and task delegation systems Implement memory management and contextual reasoning capabilities Integrate AI systems with external tools, APIs, and enterprise applications Large Language Model Integration Integrate and optimise large language model services including Claude, OpenAI, and open-source models Develop prompt orchestration pipelines and retrieval-augmented generation architectures Implement vector database integration and semantic search capabilities Optimise model performance, response quality, and operational efficiency Enterprise System Integration Integrate AI platforms with enterprise systems, collaboration tools, and document repositories Develop secure API integration patterns Support authentication and identity integration requirements Build AI-enabled enterprise workflow capabilities Proposal &amp; Compliance Automation Develop intelligent proposal generation and evaluation systems Build compliance validation and document inspection workflows Implement AI-assisted scoring and recommendation engines Support enterprise governance automation initiatives Infrastructure &amp; Deployment Deploy AI applications in cloud, hybrid, and on-premise environments Configure logging, observability, monitoring, and operational diagnostics Support containerisation and deployment automation practices Optimise infrastructure scalability and operational cost efficiency Required Qualifications Education Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field Master’s degree is preferred but not mandatory Experience Minimum 7 years of software engineering experience Minimum 3 years practical experience developing AI-powered applications Proven experience building and deploying production-grade AI systems Experience working in enterprise or regulated environments preferred Required Technical Skills Programming &amp; Backend Development Python FastAPI or equivalent backend frameworks RESTful APIs PostgreSQL or equivalent databases Git and version control systems AI Technologies Claude APIs OpenAI APIs LangGraph LangChain Retrieval-Augmented Generation Vector databases Prompt orchestration AI workflow automation Frontend &amp; Integration React or Next.<br>js API integration Authentication and access control concepts Infrastructure &amp; DevOps Docker Linux environments CI/CD pipelines Cloud deployment concepts Preferred Skills Experience with enterprise AI governance solutions Experience with intelligent document processing systems Experience using AI-assisted development tools Exposure to multi-agent systems and orchestration frameworks Familiarity with enterprise architecture concepts Core Competencies Strong analytical and problem-solving skills Ability to independently deliver complex technical solutions Strong software design capability Fast execution and delivery orientation Excellent communication and documentation skills Ability to work in fast-paced enterprise environments</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Why This Job Is Exciting You will support Innovatrics' biometric software running in production environments, with a primary focus on a dedicated long-term partner project in Riyadh.<br> You'll be the first technical point of contact for incidents and requests, working within a structured support process and backed up by a remote team from HQ Bratislava.<br> How Support Works at Innovatrics L1: Support team (you) — triage, investigation, customer comms, ticket ownership (career level T1-T2 - Junior) L2: System Engineers &amp; Solution Delivery Managers — deeper troubleshooting, deployments, complex analysis L3: Engineering — product-level fixes and advanced technical resolution In Your First Month, You'll Learn the supported solution, customer context, and how our L1/L2/L3 support model works Shadow ticket handling, environment checks, and incident troubleshooting in real production setups Get onboarded into our tooling and documentation (Freshdesk, Jira, Confluence, monitoring/log platforms) As You Settle Into the Role, You'll Own customer tickets end-to-end: triage, investigation, updates, and resolution within SLA Troubleshoot using logs, system behavior, and structured reproduction; escalate to L2/L3 when needed Coordinate with HQ and local stakeholders during incidents (Support team, System Engineers, Solution Delivery Managers, .<br>..) Within Your First Year, You'll Resolve standard incidents independently and consistently according to the support process Contribute to knowledge base and ticket hygiene (clear steps, root cause notes, reproducible findings) Support stability: help minimize downtime through proactive checks, clean escalations, and follow-through What You'll Be Responsible For Ticket ownership: analyze incidents, request missing info, reproduce issues, propose resolution steps Customer communication: keep tickets up to date, communicate progress clearly via portal/email/calls Operational support: monitoring, coordinating patches/changes in the customer environment, and supporting troubleshooting sessions Escalations &amp; collaboration: involve System Engineers / Solution Delivery Managers / Engineering when needed, track progress On-call participation: active participation in 24/7 on-call rotations as part of this dedicated customer engagement What We're Looking For Languages Arabic (professional spoken and written) — required English (professional spoken and written) — required Skills &amp; Mindset Strong ownership, structured troubleshooting, and attention to detail Comfortable communicating with customers under time pressure (SLA-driven) Reliable and able to work independently, while escalating early when needed Technical Requirements Must-have: Linux administration experience in production environments Kubernetes fundamentals — ability to work with pods/services, collect and analyze logs, perform basic troubleshooting Ability to read logs and identify likely triggers and root causes Experience working in a ticket-based support environment (internal or external) Nice-to-have: Helm (basic usage or understanding) Databases: PostgreSQL / MSSQL / Oracle (connectivity checks, basic queries) Networking fundamentals (DNS, ports, firewalls, connectivity troubleshooting) Monitoring &amp; logging tools: Grafana, ELK (or similar) Messaging services exposure Scripting / automation basics (Bash, Python, or similar) On-Call &amp; Availability This role requires full participation in 24/7 on-call rotations as part of a dedicated single-customer engagement in Riyadh.<br> During on-call periods, candidates must be able to reach the customer site within approximately one hour if required.<br> Interview Process Introduction Stage — Recruiter Screen (virtual call) Team Interview Stage — Technical &amp; Team Interview (single extended interview, conversation &amp; practical case-based scenarios) Final Stage — CARES Interview — Values driven conversation We encourage candidates to request additional conversations with team members they would like to meet.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions.<br> The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.<br> What you'll do Designing, building, and scaling machine learning models and infrastructure Deploying deep learning and generative models into production for public and private sector projects Optimizing ML training and inference for performance, latency, and scalability Monitoring, retraining, and improving deployed ML models Driving consultation efforts, providing expert guidance to client stakeholders Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data Develop backend services and APIs to expose AI capabilities securely and reliably Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> Bachelor's or master's degree in computer science or related field 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI.<br> Strong track record of projects across public and private sectors Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama) Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science) Familiarity with MLOps practices and automation pipelines Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment Experience building data ingestion, transformation, and processing pipelines Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.<br>js, or equivalent technologies Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces Working knowledge of frontend technologies such as React, Next.<br>js, JavaScript, TypeScript, HTML, and CSS Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services Ability to independently build functional AI applications from prototype through production Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are looking for a Senior AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions.<br> The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.<br> What you'll do Designing, building, and scaling machine learning models and infrastructure Deploying deep learning and generative models into production for public and private sector projects Optimizing ML training and inference for performance, latency, and scalability Monitoring, retraining, and improving deployed ML models Driving consultation efforts, providing expert guidance to client stakeholders Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data Develop backend services and APIs to expose AI capabilities securely and reliably Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> Bachelor's or master's degree in computer science or related field 5+ years of experience across software engineering, ML engineering, data science, data engineering and generative AI.<br> Strong track record of projects across public and private sectors Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama) Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science) Familiarity with MLOps practices and automation pipelines Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment Experience building data ingestion, transformation, and processing pipelines Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.<br>js, or equivalent technologies Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces Working knowledge of frontend technologies such as React, Next.<br>js, JavaScript, TypeScript, HTML, and CSS Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services Ability to independently build functional AI applications from prototype through production Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions.<br> The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.<br> What you'll do Designing, building, and scaling machine learning models and infrastructure Deploying deep learning and generative models into production for public and private sector projects Optimizing ML training and inference for performance, latency, and scalability Monitoring, retraining, and improving deployed ML models Driving consultation efforts, providing expert guidance to client stakeholders Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data Develop backend services and APIs to expose AI capabilities securely and reliably Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> Bachelor's or master's degree in computer science or related field 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI.<br> Strong track record of projects across public and private sectors Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama) Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science) Familiarity with MLOps practices and automation pipelines Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment Experience building data ingestion, transformation, and processing pipelines Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.<br>js, or equivalent technologies Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces Working knowledge of frontend technologies such as React, Next.<br>js, JavaScript, TypeScript, HTML, and CSS Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services Ability to independently build functional AI applications from prototype through production Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project ( https://tendem.ai/ ) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI Pilot that's how we refer to this position at Mindrift you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p><p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p><p>This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p><ul><li>Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack and similar messaging platforms.</li><li>Design and implement conversational flows, dialogue state, and fallback handling.</li><li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li><li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li><li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li><li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li><li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li></ul><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p>Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required).</li><li>Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li><li>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows.</li><li>We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences.</li><li>Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</li><li>At least 1 year of hands-on experience building bots for at least one major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li><li>Strong command of Python or Node.js for backend bot logic.</li><li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li><li>Experience with relational or NoSQL databases for storing conversation state and user data.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li><li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li><li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li><li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li><li>Self-directed work ethic with the ability to design and ship complete bots independently.</li><li>Portfolio or examples of bots you've built (required).</li><li>English proficiency: Upper-intermediate (B2) or above (required).</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the company Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company. This internship is not educational by default. It is an engineering-adjacent role with real production impact. Context The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling. The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks. What you will do This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools. Build AI agents and automations using internal no-code and low-code tooling Configure agent workflows, tools, and orchestration logic Integrate agents with internal systems via APIs and tools Participate in designing agent architectures and workflows Help test, evaluate, and iterate on agent behavior and quality Work with datasets and evaluation results to improve agent performance Document agent logic, workflows, and best practices Work closely with platform engineers, product managers, and internal users Required Strong logical and systems thinking Ability to break down human workflows into structured steps Understanding of how web services, APIs, and tools interact Experience with no-code or low-code platforms Basic understanding of data formats (JSON), APIs, and webhooks Ability to reason about edge cases, failure modes, and correctness High level of ownership and responsibility Comfort with fast iteration and experimental environments English sufficient for documentation and team communication Strong plus Experience with LLMs, AI agents, or automation Experience building internal tools or automations Experience with Python Education in data science, machine learning field Understanding of prompt design or agent orchestration concepts Familiarity with evaluation, testing, or quality metrics Curiosity about AI system behavior and limitations What we do not expect Expert-level knowledge of LLMs, agent frameworks, or prompt engineering Prior professional AI, automation, or platform engineering experience Mastery of all listed no-code platforms or LLM tooling Deep knowledge of ML internals, model training, or RAG architectures Eligibility Saudi nationals only Self-funded internship by Tabby We welcome both current students and fresh grads We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Strong logical and systems thinking</li><li>Ability to break down human workflows into structured steps</li><li>Understanding of how web services, APIs, and tools interact</li><li>Experience with no-code or low-code platforms</li><li>Basic understanding of data formats (JSON), APIs, and webhooks</li><li>Ability to reason about edge cases, failure modes, and correctness</li><li>High level of ownership and responsibility</li><li>Comfort with fast iteration and experimental environments</li><li>English sufficient for documentation and team communication</li><li><strong>Strong plus</strong>: Experience with LLMs, AI agents, or automation</li><li><strong>Strong plus</strong>: Experience building internal tools or automations</li><li><strong>Strong plus</strong>: Experience with Python</li><li><strong>Strong plus</strong>: Education in data science, machine learning field</li><li><strong>Strong plus</strong>: Understanding of prompt design or agent orchestration concepts</li><li><strong>Strong plus</strong>: Familiarity with evaluation, testing, or quality metrics</li><li><strong>Strong plus</strong>: Curiosity about AI system behavior and limitations</li><li><strong>What we do not expect</strong>: Expert-level knowledge of LLMs, agent frameworks, or prompt engineering</li><li><strong>What we do not expect</strong>: Prior professional AI, automation, or platform engineering experience</li><li><strong>What we do not expect</strong>: Mastery of all listed no-code platforms or LLM tooling</li><li><strong>What we do not expect</strong>: Deep knowledge of ML internals, model training, or RAG architectures</li><li><strong>Eligibility</strong>: Saudi nationals only</li><li>Self-funded internship by Tabby</li><li>We welcome both current students and fresh grads</li><li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At Mirai, a Scopely Studio, we're passionate about creating engaging gaming experiences that delight millions of players worldwide.<br> We're looking for an experienced QA Automation Lead to help elevate quality across our games and platforms by driving automation excellence, mentoring quality engineers, and implementing modern quality engineering practices.<br> About the Role This is a hands-on leadership role for a highly technical quality professional.<br> Working closely with the QA Manager, you will ensure the highest quality standards across multiple projects by building automation frameworks from the ground up, solving complex testing challenges, and empowering teams through coaching and mentorship.<br> What You Will Do Architect &amp; Build: Lead the design, development, and maintenance of scalable automation frameworks for web, mobile, and backend services supporting our gaming ecosystem.<br> End-to-End Testing: Develop automated tests for functional, integration, regression, API, and end-to-end testing while analysing results to identify root causes.<br> Pipeline Integration: Integrate automated testing into CI/CD pipelines to support continuous delivery practices.<br> Cross-Functional Collaboration: Collaborate with game teams and internal/external QA teams to ensure quality is embedded throughout the development lifecycle.<br> Mentorship &amp; Training: Provide technical leadership to the Quality Engineering team, mentoring junior and senior engineers to grow their automation and programming expertise.<br> Code Excellence: Conduct code reviews and lead training sessions on quality engineering best practices to promote high standards for maintainability and scalability.<br> 5+ years of experience in software quality assurance with a strong focus on automation.<br> Strong hands-on experience with Playwright, Selenium WebDriver, Appium, and Python/Java.<br> Strong experience in using version control tools like GitHub Proven experience designing and building automation frameworks from scratch.<br> Experience testing mobile applications and web platforms, alongside strong software engineering fundamentals and API testing expertise.<br> Understanding of Agile development methodologies and excellent problem-solving, communication, and collaboration skills.<br> Knowledge of AI-assisted testing tools and how generative AI can improve test creation, maintenance, analysis, and productivity.<br> A strong passion for exploring emerging technologies that enhance software quality.<br> Bonus Points (Nice to Have) Experience testing mobile games, gaming platforms, or live-service products.<br> Familiarity with cloud testing platforms such as BrowserStack, Sauce Labs, Lambda Test, or AWS Farm.<br> Experience with performance, reliability, or scalability testing.<br> ISTQB Automation or relevant quality certifications.<br> Bachelor's Degree 5+ years of experience in software quality assurance with a strong focus on automation.<br> Strong hands-on experience with Playwright, Selenium WebDriver, Appium, and Python/Java.<br> Strong experience in using version control tools like GitHub Proven experience designing and building automation frameworks from scratch.<br> Experience testing mobile applications and web platforms, alongside strong software engineering fundamentals and API testing expertise.<br> Understanding of Agile development methodologies and excellent problem-solving, communication, and collaboration skills.<br> Knowledge of AI-assisted testing tools and how generative AI can improve test creation, maintenance, analysis, and productivity.<br> A strong passion for exploring emerging technologies that enhance software quality.<br> Bonus Points (Nice to Have) Experience testing mobile games, gaming platforms, or live-service products.<br> Familiarity with cloud testing platforms such as BrowserStack, Sauce Labs, Lambda Test, or AWS Farm.<br> Experience with performance, reliability, or scalability testing.<br> ISTQB Automation or relevant quality certifications.<br> How You Will Measure Success 30 Days: Map out the existing technical architecture and build strong relationships with cross-functional game teams and external QA partners.<br> 90 Days: Design or upgrade our core web automation framework and establish a structured code-review process for the QE team.<br> 6 Months: Achieve a measurable reduction in manual regression cycle times and increase automated test coverage across critical paths.<br> Ready to level up your career?<br> Apply now and help us build the future of play!<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>The Project Management Senior Specialist will support the planning, monitoring, reporting, and digital management of complex projects by developing data-driven tools, dashboards, and reporting solutions. The ideal candidate will have a strong software engineering or technical background combined with project management experience, with proven expertise in programming, data analytics, and Power BI.</p><p>Key Responsibilities</p><ul><li>Develop, maintain, and enhance project management systems, digital tools, dashboards, and reporting solutions.</li><li>Design and automate project reporting processes using Power BI, Power Query, DAX , and other data analytics tools.</li><li>Develop interactive dashboards to track project performance, schedule, cost, risk, resources, procurement, and key performance indicators (KPIs).</li><li>Integrate data from multiple project systems, databases, spreadsheets, and enterprise platforms to create reliable and consolidated reporting.</li><li>Apply programming and scripting skills to automate repetitive project management and reporting activities.</li><li>Develop data models, data pipelines, and automated workflows to improve the accuracy and efficiency of project information.</li><li>Work closely with Project Controls, Planning, Cost, Commercial, PMO, and IT teams to understand reporting requirements and translate them into digital solutions.</li><li>Analyze project data and identify trends, deviations, risks, and areas requiring management attention.</li><li>Establish standardized reporting templates, dashboards, data structures, and visualization standards across projects.</li><li>Support the development and implementation of project management information systems (PMIS) and digital project controls solutions.</li><li>Ensure data quality, integrity, consistency, and appropriate governance across project reporting platforms.</li><li>Prepare executive-level dashboards and management reports providing clear insights into project performance and delivery.</li><li>Provide technical support and guidance to project teams on Power BI, data visualization, reporting tools, and digital project management solutions.</li><li>Continuously identify opportunities to improve project reporting through automation, analytics, and emerging technologies.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Software Engineering, Computer Science, Information Technology, Engineering , Project Management, or a related discipline.</p><p>10+ years of professional experience , preferably combining software development, data analytics, digital transformation, and project management.</p><p>Strong experience in programming/software development , preferably using Python, SQL, JavaScript, C#, or similar languages.</p><p>Advanced proficiency in Microsoft Power BI , including Power Query, DAX, data modelling, dashboard development, and visualization.</p><p>Strong knowledge of SQL, databases, data integration, and data transformation.</p><p>Experience developing automated reporting solutions and integrating data from multiple systems.</p><p>Experience working within PMO, project controls, construction, engineering, or large-scale project environments is highly desirable.</p><p>Familiarity with project management systems, PMIS, ERP platforms, Primavera P6, Microsoft Project, or similar project management applications is advantageous.</p><p>Strong analytical, problem-solving, communication, and stakeholder management skills.</p><p>The ideal candidate is a software engineer or technically oriented project management professional who can bridge the gap between project teams and technology. The candidate should be capable of understanding complex project data, developing robust programming and automation solutions, and translating information into intuitive Power BI dashboards and actionable management insights .</p>

<p>As an AI/ML Engineer Associate Manager , you will design, build, and deploy scalable Artificial Intelligence (AI) and Machine Learning (ML) solutions that enable organizations to unlock value from data and advanced analytics. You will leverage cloud-native AI services, Generative AI technologies, and MLOps best practices to deliver production-ready solutions while driving innovation through research, model development, and high-performance computing capabilities.</p><p>Key Responsibilities</p><ul><li>Design and develop AI and Machine Learning solutions using modern AI frameworks and cloud-based AI services.</li><li>Build, deploy, and maintain scalable data pipelines that support model training, inference, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to ensure efficient model development, deployment, versioning, and lifecycle management.</li><li>Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business requirements.</li><li>Develop AI solutions that can operate across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li><li>Evaluate model performance and communicate the quality, scalability, and business value of AI solutions to stakeholders.</li><li>Conduct research and development activities focused on emerging AI technologies, algorithms, simulations, and advanced analytical methods.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, feature engineering, and optimization techniques.</li><li>Design and implement efficient data, model, and knowledge storage mechanisms to support AI applications and retrieval capabilities.</li><li>Collaborate with architects, data engineers, and business stakeholders to deliver robust, enterprise-grade AI solutions.</li><li>Ensure adherence to security, governance, and Responsible AI principles throughout the AI solution lifecycle.</li><li>Support continuous improvement of AI platforms, tools, and engineering practices to enhance solution performance and reliability.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>6-9 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical fields.</li><li>Hands-on experience designing, developing, and deploying AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building scalable data pipelines and implementing MLOps practices for model deployment and monitoring.</li><li>Strong understanding of data engineering, data preprocessing, feature engineering, and model optimization techniques.</li><li>Experience developing and deploying Generative AI solutions, foundation models, and LLM-based applications.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing AI observability, model monitoring, and production support processes.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, or Cloud Technologies are preferred.</li></ul>

<p>Role Overview As an AI &amp; Machine Learning Consultant , you will design, develop, and deploy enterprise-grade AI and Machine Learning solutions that drive business innovation and operational efficiency. You will leverage cloud-native AI services, Generative AI technologies, and advanced MLOps practices to build scalable, production-ready AI systems. Working across the AI lifecycle, you will help transform data into intelligent solutions while ensuring performance, scalability, and business value.</p><p>Key Responsibilities</p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI and analytics services.</li><li>Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management.</li><li>Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business needs.</li><li>Design AI solutions that operate efficiently across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li><li>Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics.</li><li>Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods.</li><li>Work with large-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques.</li><li>Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities.</li><li>Collaborate with cross-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions.</li><li>Ensure AI solutions align with enterprise security, governance, compliance, and Responsible AI requirements.</li><li>Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical disciplines.</li><li>Hands-on experience designing, developing, and deploying AI/ML applications in enterprise environments.</li><li>Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and modern AI development frameworks.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization.</li><li>Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies.</li><li>Experience developing and deploying Generative AI applications, foundation models, and LLM-based solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li><li>Experience implementing AI observability, model monitoring, and production support frameworks.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, Cloud Platforms, or related technologies are preferred.</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Senior AI Engineer Role</h3> <p style="margin:0 0 12px; ************;">Ejada is seeking a <strong style="font-weight:700;">Senior AI Engineer</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to designing, developing, deploying, and optimizing advanced Artificial Intelligence solutions that drive business transformation and innovation initiatives. The successful candidate will provide technical leadership in implementing Machine Learning models, Large Language Models (LLMs), Agentic AI solutions, AI Operations (AIOps), and enterprise-scale AI platforms, ensuring scalability, reliability, security, and measurable business value.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Core Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, develop, and deploy AI and Machine Learning solutions to address business and operational challenges.</li> <li style="margin:0 0 6px;">Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and enterprise AI frameworks.</li> <li style="margin:0 0 6px;">Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and knowledge retrieval technologies.</li> <li style="margin:0 0 6px;">Develop Agentic AI solutions utilizing multi-agent frameworks and orchestration platforms.</li> <li style="margin:0 0 6px;">Build, maintain, and optimize APIs and backend services supporting AI-driven applications.</li> <li style="margin:0 0 6px;">Implement and manage AI model deployment, serving, monitoring, and lifecycle management processes.</li> <li style="margin:0 0 6px;">Establish MLOps and AIOps best practices to ensure reliable model delivery and operational excellence.</li> <li style="margin:0 0 6px;">Design and maintain scalable data pipelines, feature engineering workflows, and AI-ready data architectures.</li> <li style="margin:0 0 6px;">Optimize AI inference performance, model serving infrastructure, and resource utilization.</li> <li style="margin:0 0 6px;">Collaborate with business stakeholders, data engineers, architects, and technology teams to identify and implement AI use cases.</li> <li style="margin:0 0 6px;">Implement monitoring, observability, and evaluation frameworks to track AI model quality, performance, and reliability.</li> <li style="margin:0 0 6px;">Support cloud-native AI deployments and infrastructure across public cloud platforms.</li> <li style="margin:0 0 6px;">Provide technical guidance, mentorship, and knowledge sharing to engineering teams.</li> <li style="margin:0 0 6px;">Contribute to AI strategy, architecture standards, governance practices, and innovation initiatives.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Minimum Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's Degree in a relevant field.</li> <li style="margin:0 0 6px;">Professional certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">5 years of experience</strong> in Artificial Intelligence, Machine Learning, Data Engineering, or Software Engineering.</li> <li style="margin:0 0 6px;">Proven experience in designing and deploying AI/ML solutions in enterprise environments.</li> <li style="margin:0 0 6px;">Hands-on experience with LLMs, Generative AI, RAG-based architectures, MLOps practices, and cloud platforms.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Technical Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Proficiency in Python Programming, Advanced SQL, API Development, and integration.</li> <li style="margin:0 0 6px;">Expertise in Large Language Models (OpenAI, Azure OpenAI, Hugging Face), Retrieval-Augmented Generation (RAG), Vector Databases (Qdrant, Pinecone, Chroma), LangChain, LangGraph, and Multi-Agent Systems.</li> <li style="margin:0 0 6px;">Strong skills in Machine Learning, Advanced Analytics, Kubernetes, Docker, CI/CD Pipelines, MLOps, vLLM, Model Serving, and AI Inference Optimization.</li> <li style="margin:0 0 6px;">Experience with Data Engineering Tools (Airflow, Kafka, ETL Pipelines).</li> <li style="margin:0 0 6px;">Experience with Cloud Platforms (AWS, Microsoft Azure, Google Cloud Platform).</li> <li style="margin:0 0 6px;">Familiarity with AI Monitoring and Evaluation Tools (LangFuse, MLflow, Prometheus, Grafana).</li> <li style="margin:0 0 6px;">Knowledge of AI Platform Engineering, AIOps, Enterprise Data Management, and Data Architecture.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Professional Competencies</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong analytical and problem-solving capabilities.</li> <li style="margin:0 0 6px;">Excellent troubleshooting skills.</li> <li style="margin:0 0 6px;">Effective communication and stakeholder management abilities.</li> <li style="margin:0 0 6px;">Demonstrated technical leadership.</li> </ul>