Python Developer Jobs in Saudi
1020 Jobs Found
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <p> </p> <p> <strong>What We Do </strong> </p> <p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p> <p> </p> <p> <strong>About the Role</strong> </p> <p>This is a freelance role for a Tendem project. As a <strong>Senior Python Data Scraping Engineer</strong>, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p> <p> </p> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <p> </p> <p> <em> <strong>Educational qualifications</strong> </em> </p> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> </ul> <p> </p> <p> <em> <strong>Academic and/or Professional Experience</strong> </em> </p> <p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p> <p> </p> <p> <em> <strong>Technical Skills (Essential)</strong> </em> </p> <ul> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li> </ul> <p> </p> <p> <em> <strong>Additional requirements</strong> </em> </p> <ul> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li> <li>Strong attention to detail and commitment to data accuracy</li> <li>Self-directed work ethic with ability to troubleshoot independently</li> <li>A link to GitHub is a plus</li> <li>English proficiency: Upper-intermediate (B2) or above (required)</li> </ul> <p> </p> <p> <strong>Project time expectations </strong> </p> <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> </p> <p> <strong>Compensation </strong> </p> <p>On this project, contributors can earn up to <strong>$37 per hour equivalent</strong>, 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> </p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux & Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<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>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases.</p><p>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.</p><p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.</p><p>We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.</p><p>A methodical, detail-oriented approach and the ability to work independently are essential.</p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements.</p><p>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 $37 per hour equivalent , depending on their level and pace of contribution.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.</p><p>We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.</p><p>A methodical, detail-oriented approach and the ability to work independently are essential.</p><strong>Technical Skills (Essential)</strong><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><strong>Additional requirements</strong><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>Experience: 4-6 years ARABIC SPEAKING IS A MUST HAVE. MUST HAVE 4 6+ years building BI solutions end-to-end (data modeling visualization deployment) Strong hands-on skills in a major BI tool (Power BI, Tableau, or Qlik) expert-level in at least one Strong SQL (query optimization, stored procedures, complex joins) Data modeling experience (star schema, dimensional modeling) ETL/ELT experience building and troubleshooting data pipelines feeding BI layers Ability to gather requirements directly from business stakeholders and translate into dashboards/reports (this is the "consultant" half not just a report-builder) DAX or equivalent calculation-language proficiency (if Power BI-centric) GOOD TO HAVE Experience with Microsoft Fabric or similar unified analytics platforms Exposure to Python or R for advanced analytics feeding into BI layers Experience presenting to executive/C-level audiences Domain experience in operations/logistics/parking/municipal data Arabic language skills Familiarity with data governance/row-level security implementation Prior consulting background (used to client-facing engagements, scoping, and stakeholder management) Share</p><p><strong>Desired Candidate Profile</strong></p><p>ARABIC SPEAKING IS A MUST HAVE. MUST HAVE 4 6+ years building BI solutions end-to-end (data modeling visualization deployment) Strong hands-on skills in a major BI tool (Power BI, Tableau, or Qlik) expert-level in at least one Strong SQL (query optimization, stored procedures, complex joins) Data modeling experience (star schema, dimensional modeling) ETL/ELT experience building and troubleshooting data pipelines feeding BI layers Ability to gather requirements directly from business stakeholders and translate into dashboards/reports (this is the "consultant" half not just a report-builder) DAX or equivalent calculation-language proficiency (if Power BI-centric)</p><ul><li>Experience with Microsoft Fabric or similar unified analytics platforms</li><li>Exposure to Python or R for advanced analytics feeding into BI layers</li><li>Experience presenting to executive/C-level audiences</li><li>Domain experience in operations/logistics/parking/municipal data</li><li>Arabic language skills</li><li>Familiarity with data governance/row-level security implementation</li><li>Prior consulting background (used to client-facing engagements, scoping, and stakeholder management)</li></ul>
<p>BI Developer/Consultant Location: KSA (On-site) Experience: 4-6 years ARABIC SPEAKING IS A MUST HAVE. MUST HAVE 4 6+ years building BI solutions end-to-end (data modeling visualization deployment) Strong hands-on skills in a major BI tool (Power BI, Tableau, or Qlik) expert-level in at least one Strong SQL (query optimization, stored procedures, complex joins) Data modeling experience (star schema, dimensional modeling) ETL/ELT experience building and troubleshooting data pipelines feeding BI layers Ability to gather requirements directly from business stakeholders and translate into dashboards/reports (this is the "consultant" half not just a report-builder) DAX or equivalent calculation-language proficiency (if Power BI-centric) GOOD TO HAVE Experience with Microsoft Fabric or similar unified analytics platforms Exposure to Python or R for advanced analytics feeding into BI layers Experience presenting to executive/C-level audiences Domain experience in operations/logistics/parking/municipal data Arabic language skills Familiarity with data governance/row-level security implementation Prior consulting background (used to client-facing engagements, scoping, and stakeholder management) Share</p><p><strong>Desired Candidate Profile</strong></p><p>ARABIC SPEAKING IS A MUST HAVE. MUST HAVE 4 6+ years building BI solutions end-to-end (data modeling visualization deployment) Strong hands-on skills in a major BI tool (Power BI, Tableau, or Qlik) expert-level in at least one Strong SQL (query optimization, stored procedures, complex joins) Data modeling experience (star schema, dimensional modeling) ETL/ELT experience building and troubleshooting data pipelines feeding BI layers Ability to gather requirements directly from business stakeholders and translate into dashboards/reports (this is the "consultant" half not just a report-builder) DAX or equivalent calculation-language proficiency (if Power BI-centric)</p><ul><li>Experience with Microsoft Fabric or similar unified analytics platforms</li><li>Exposure to Python or R for advanced analytics feeding into BI layers</li><li>Experience presenting to executive/C-level audiences</li><li>Domain experience in operations/logistics/parking/municipal data</li><li>Arabic language skills</li><li>Familiarity with data governance/row-level security implementation</li><li>Prior consulting background (used to client-facing engagements, scoping, and stakeholder management)</li></ul>
We are looking for a talented Odoo Developer to join our growing team. The ideal candidate will be responsible for developing, customizing, and maintaining Odoo ERP solutions while ensuring seamless integration with business processes and third-party systems.<br>Key Responsibilities:Develop, customize, and enhance Odoo modules and applications. Design and implement integrations with internal and external systems. Analyze business requirements and translate them into technical solutions. Optimize system performance and troubleshoot technical issues. Manage and maintain Postgre SQL databases. Prepare and maintain technical documentation. Collaborate with cross-functional teams to deliver high-quality solutions.<br>Requirements:Bachelor's degree in computer science, Information Technology, or a related field.7+ years of experience in Odoo ERP development and customization. Strong proficiency in Python and Odoo Framework. Experience with Postgre SQL databases. Knowledge of REST APIs and system integrations. Familiarity with Linux environments. Strong analytical and problem-solving skills. Good communication skills in English and Arabic.
Project Description:<br>Large bank in Saudi is looking for Integration Stream Lead for its Murex greenfield implementation project.<br>Responsibilities:<br>Integration Stream Lead will be responsible of the end-to-end delivery of interfaces which includes Requirement gathering, Design, Build, Test, Deployment, Support. MxML workflow integration with up and downstream systems (FMDW, TOMS, BSMT, etc) Building interfaces with Murex and other systems using Java, Linux Scripts and Python. Build, enhance and debug Datamart reports Regression Cycle analysis (EOD run and diff analysis)<br>Mandatory Skills Description:<br>10-15 years of total working experience10+ years as integration lead experience Experience on Mx3.1 MxML Exchange Market Data and Unix scripting Strong experience on interfaces (Bloomberg, Refinitiv, IHS Markit...) to trading platforms and market data providers Strong Shell Scripting capability Good SQL programming skills Good knowledge of overall Murex system Understanding of Control-MGood ability to suggest improvements in existing solutions Product knowledge - FX, IRD, FI, EQD, CRD, MM, COM
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Description: AI / ML Engineer Job Title: AI / ML Engineer Experience: 3 11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable. Key Responsibilities Design, develop, train, and deploy machine learning and deep learning models for enterprise applications. Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment. Develop Generative AI and LLM-powered applications using modern AI frameworks. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions. Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security. Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation. Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. Stay current with advancements in AI, machine learning, and cloud AI services. Required Technical Skills Cloud AI Platforms Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker . Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions. Experience with BigQuery ML and Dataflow for data processing and machine learning workflows. Programming & Machine Learning Strong proficiency in Python . Experience developing machine learning solutions using TensorFlow or PyTorch . Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts. Generative AI & LLM Frameworks Experience with Hugging Face and LangChain for building LLM-powered applications. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred. Data Engineering & Analytics Experience with Databricks for data engineering, model development, and analytics workflows. Strong understanding of data preprocessing, feature engineering, and large-scale data processing. MLOps & Deployment Experience deploying machine learning models into production. Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 11 years of professional experience in AI, Machine Learning, or Data Science. Strong analytical, mathematical, and problem-solving skills. Experience working in Agile development environments. Excellent communication and collaboration skills. Preferred Skills Experience with Large Language Models (LLMs) and Generative AI applications. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents. Experience with distributed model training and cloud-native AI architectures. Cloud certifications in AWS, Azure, or Google Cloud are a plus. Key Technology Stack Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs) Data Processing: BigQuery ML and Dataflow and Databricks Programming: Python Machine Learning Frameworks: TensorFlow or PyTorch LLM Frameworks: Hugging Face or LangChain MLOps: Docker and Kubernetes and CI/CD (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</p><p>3 11 years of professional experience in AI, Machine Learning, or Data Science.</p><p>Strong analytical, mathematical, and problem-solving skills.</p><p>Experience working in Agile development environments.</p><p>Excellent communication and collaboration skills.</p><h2>Preferred Skills</h2><p>Experience with Large Language Models (LLMs) and Generative AI applications.</p><p>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</p><p>Experience with distributed model training and cloud-native AI architectures.</p><p>Cloud certifications in AWS, Azure, or Google Cloud are a plus.</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Description: Full Stack Developer (3 11 Years Experience) Job Title: Full Stack Developer Experience: 3 11 Years Location: Riyadh, Saudia Arabia Employment Type: Full-Time Job Overview We are looking for a talented Full Stack Developer with 3 11 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong expertise across both frontend and backend technologies, experience building RESTful APIs, and a solid understanding of modern software development practices. Key Responsibilities Design, develop, test, and maintain full-stack web applications. Build responsive, high-performance user interfaces using modern JavaScript frameworks. Develop secure and scalable backend services and RESTful APIs. Collaborate with product managers, designers, QA engineers, and DevOps teams to deliver high-quality software. Optimize application performance, scalability, and security. Write clean, maintainable, and reusable code following industry best practices. Participate in code reviews and mentor junior developers where applicable. Troubleshoot production issues and implement timely fixes. Work within Agile/Scrum development methodologies. Required Technical Skills Frontend Strong experience with React.js or Next.js or Vue.js . Experience with Webpack or comparable frontend build tools/frameworks . Strong knowledge of HTML5, CSS3, JavaScript (ES6+), and TypeScript. Experience building responsive and cross-browser compatible applications. Backend Hands-on experience with one or more of the following backend technologies: Java and Spring Boot Node.js .NET Python and Django Ruby on Rails PHP or comparable backend technologies Database Experience with relational databases such as PostgreSQL, MySQL, or SQL Server. Knowledge of NoSQL databases such as MongoDB is a plus. APIs & Integration Experience designing and consuming RESTful APIs. Familiarity with GraphQL is an advantage. Experience with authentication and authorization mechanisms (OAuth, JWT, SSO). DevOps & Tools Git/GitHub/GitLab/Azure DevOps. CI/CD pipelines. Docker and Kubernetes are a plus. Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) is preferred. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 3 11 years of professional experience in full-stack software development. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Experience working in Agile development environments. Preferred Skills Microservices architecture. Unit testing and integration testing frameworks. Performance optimization and application security. Experience with containerized and cloud-native applications. Familiarity with messaging systems such as Kafka or RabbitMQ is an added advantage. Key Technology Stack Frontend: React.js or Next.js or Vue.js and Webpack or comparable frontend frameworks/build tools Backend: Java and Spring Boot or Node.js or .NET or Python and Django or Ruby on Rails or PHP or comparable backend technologies Databases: PostgreSQL or MySQL or SQL Server or MongoDB Cloud: AWS or Azure or Google Cloud Platform Version Control: Git, GitHub, GitLab Containerization: Docker, Kubernetes (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 3 11 years of professional experience in full-stack software development. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Experience working in Agile development environments. Preferred Skills Microservices architecture. Unit testing and integration testing frameworks. Performance optimization and application security. Experience with containerized and cloud-native applications. Familiarity with messaging systems such as Kafka or RabbitMQ is an added advantage.</p><p></p></section>
Senior Infrastructure & Cloud Ops Engineer<br>Location: Riyadh, Saudi Experience : 6-10 years Job Purpose Responsible for designing, implementing, administering, and supporting the infrastructure platform hosting the Masdr Data Enablement Zone, ensuring availability, scalability, security, automation, and operational excellence. Key Responsibilities Infrastructure & Cloud Operations Administer Linux servers and enterprise infrastructure. Deploy, configure, and support Kubernetes/Open Shift clusters. Manage VMware v Sphere and/or Nutanix platforms. Administer Oracle Cloud Infrastructure (OCI) resources. Perform capacity planning, patching, backup, disaster recovery, and performance tuning. Implement high availability and resilient infrastructure. Cloud Ops & Automation Develop Infrastructure as Code using Terraform. Automate provisioning and operations using Ansible and Bash/Python. Support Git and Git Lab repositories for infrastructure automation. Support CI/CD pipelines related to infrastructure deployments. Manage container images and Kubernetes deployments. Platform Monitoring & Security Monitor infrastructure health and availability. Troubleshoot incidents and perform root cause analysis. Maintain operational documentation and runbooks. Apply OS hardening and support vulnerability remediation. Participate in disaster recovery exercises and compliance activities. Minimum Qualifications Bachelor's degree in Computer Science, IT, Computer Engineering, or related field. Experience5–8+ years in infrastructure engineering and cloud operations. Hands-on Linux, Kubernetes/Open Shift, VMware/Nutanix, OCI. Experience with Terraform, Ansible, Docker, Git/Git Lab. Preferred Certifications CKA/CKADRHCSA/RHCEVMware VCP or Nutanix NCPOCI Certification Terraform Associate (preferred) Technical Skills Linux Kubernetes/Open Shift VMware/Nutanix OCIDocker Terraform Ansible Git/Git Lab Bash/Python Monitoring Backup & DR
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<span>you will be responsible for the management, maintenance, and support of our Linux-based server environments.<br> This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency.<br> Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers.<br> Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency.<br> Implement and manage backups, disaster recovery, and security updates.<br> Automate routine maintenance tasks using scripting languages (e.<br>g., Bash, Python).<br> Collaborate with development and network teams to ensure the seamless deployment and integration of applications.<br> Provide technical support and guidance to users and IT staff regarding Linux systems.<br> Maintain detailed documentation of system configurations, procedures, and changes.<br> Participate in capacity planning and system upgrades, ensuring minimal downtime.<br> Stay updated with the latest Linux technologies and industry trends.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 4+ years of experience as a Linux Administrator or similar role.<br> Strong knowledge of Linux operating systems (e.<br>g., Red Hat, Ubuntu, CentOS).<br> Experience with server management, monitoring, and troubleshooting.<br> Proficiency in shell scripting and automation tools.<br> Familiarity with networking concepts, security best practices, and cloud services.<br> Excellent problem-solving skills and attention to detail.<br> Strong communication skills, both verbal and written.<br> Relevant certifications (e.<br>g., RHCE, CompTIA Linux+) are a plus.<br> #LI-RK1</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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<span>We are seeking an experienced Incident Response Lead to manage and coordinate cybersecurity incident response activities.<br> The ideal candidate will have hands-on experience in Digital Forensics and Incident Response (DFIR) , investigating security incidents, conducting root cause analysis, and leading containment, eradication, and recovery efforts in enterprise environments.<br> Key Responsibilities Lead the investigation and response to cybersecurity incidents.<br> Perform incident triage, analysis, containment, eradication, and recovery.<br> Conduct digital forensic investigations and root cause analysis.<br> Coordinate with SOC, Security Engineering, IT, and business teams during security incidents.<br> Develop and maintain incident response playbooks and procedures.<br> Analyze malware, phishing attacks, ransomware, and other cyber threats.<br> Prepare incident reports and provide recommendations to prevent future incidents.<br> Support threat hunting and continuous improvement of incident response capabilities.<br> Ensure compliance with organizational security policies and industry best practices.<br> 5–7 years of experience in Cybersecurity.<br> Hands-on experience in Incident Response and Digital Forensics (DFIR) .<br> Experience investigating security incidents in an enterprise environment.<br> Knowledge of malware analysis, ransomware, phishing, and threat detection.<br> Experience with SIEM, EDR, and security monitoring tools.<br> Strong understanding of Windows, Linux, networking, and security fundamentals.<br> Excellent analytical, troubleshooting, and communication skills.<br> Nice to Have Certifications such as GCFA, GCIH, GCFE, CHFI, CEH, CySA+, or Security+ .<br> Experience with cloud security incident response (Azure, AWS, or GCP).<br> Scripting experience (PowerShell or Python).<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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<span>you will be responsible for the management, maintenance, and support of our Linux-based server environments.<br> This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency.<br> Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers.<br> Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency.<br> Implement and manage backups, disaster recovery, and security updates.<br> Automate routine maintenance tasks using scripting languages (e.<br>g., Bash, Python).<br> Collaborate with development and network teams to ensure the seamless deployment and integration of applications.<br> Provide technical support and guidance to users and IT staff regarding Linux systems.<br> Maintain detailed documentation of system configurations, procedures, and changes.<br> Participate in capacity planning and system upgrades, ensuring minimal downtime.<br> Stay updated with the latest Linux technologies and industry trends.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 4+ years of experience as a Linux Administrator or similar role.<br> Strong knowledge of Linux operating systems (e.<br>g., Red Hat, Ubuntu, CentOS).<br> Experience with server management, monitoring, and troubleshooting.<br> Proficiency in shell scripting and automation tools.<br> Familiarity with networking concepts, security best practices, and cloud services.<br> Excellent problem-solving skills and attention to detail.<br> Strong communication skills, both verbal and written.<br> Relevant certifications (e.<br>g., RHCE, CompTIA Linux+) are a plus.<br> #LI-RK1</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5">
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Company Description<br>
Jobs for Humanity is partnering with abdulaziz to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
<br> Company Name: abdulaziz<br>
<br>Job Description<br>
<p>We are seeking a Full-Stack AI Engineer to design and build end-to-end applications that integrate AI/ML and LLM capabilities into production-grade products.</p><br> Job Purpose <p>Own the engineering of reliable, scalable full-stack AI features—from model integration and deployment to APIs, data pipelines, performance/security optimization, and automated testing—delivering measurable improvements in accuracy, latency, and system robustness.</p><br> Job Duties and Responsibilities <ul>
<li>Full-stack application development</li><li>Python (backend services)</li><li>TypeScript/JavaScript (frontend and services)</li><li>REST/GraphQL APIs</li><li>Machine learning model integration (PyTorch/TensorFlow)</li><li>LLM integration and prompt engineering</li><li>Model deployment with FastAPI and Docker</li><li>Database design and data access (PostgreSQL/MongoDB)</li><li>Cloud platform engineering (AWS/GCP/Azure)</li><li>Scalable APIs ownership</li><li>Data pipeline ownership</li><li>CI/CD and automated testing</li><li>Version control (Git)</li><li>Performance optimization</li><li>Security hardening</li>
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<br>Qualifications<br>
Required Qualifications <ul>
<li>Proficiency in Python</li><li>Proficiency in TypeScript/JavaScript</li><li>Experience building REST and/or GraphQL APIs</li><li>Hands-on experience integrating ML models using PyTorch and/or TensorFlow</li><li>Experience with LLM integration and prompt engineering</li><li>Experience deploying models (e.g., FastAPI, Docker)</li><li>Experience with PostgreSQL and/or MongoDB</li><li>Experience with cloud platforms (AWS/GCP/Azure)</li><li>Strong CI/CD fundamentals and test automation</li><li>Solid version control skills with Git</li>
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About the Company<br>Advanced technology and cybersecurity company (sirar) established by stc, the region’s ICT and digital services provider, sirar by stc is a cutting-edge cybersecurity provider that empowers organization to take control of their cyber capabilities and digital environments. As experts in business security and privacy. We offer a comprehensive range of solutions that help you to operate online safely, securely, and efficiently.<br>Responsibilities:Design, develop, and maintain enterprise-grade applications, APIs, and backend services using . NET Framework, . NET Core, C#, and Python. Build and implement automation solutions, system tools, and scripts to improve operational efficiency and service delivery. Develop, enhance, and maintain digital platforms including employee portals, customer portals, websites, and internal business applications. Create scalable and sustainable web applications following best practices, clean coding standards, and design patterns. Collaborate with QA, Dev Ops, Product Owners, Business Units, and stakeholders throughout the development lifecycle. Analyze business requirements and translate them into technical solutions and system enhancements. Integrate frontend components with backend services and APIs. Refactor legacy applications and contribute to modernization initiatives, including microservices adoption. Ensure application security, performance optimization, monitoring, logging, exception handling, and reliability. Conduct quality assurance activities, security testing, usability testing, and deployment preparation. Manage application enhancements, change requests, releases, and production support activities. Develop reporting capabilities through automation, standardization, and process improvement initiatives. Analyze user feedback, system performance, and operational data to enhance user experience and business outcomes. Identify system weaknesses and implement corrective actions and continuous improvements. Mentor junior developers and participate in code reviews and technical guidance.<br><br>Academic Qualification :Bachelor's degree in Computer Science, Software Engineering, Information Technology, Cybersecurity, or a related field.<br>Professional Certificate:Microsoft Certified: Azure Developer Associate (AZ-204) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Dev Ops Engineer Expert (AZ-400) Microsoft Certified: Power Platform Developer Associate (PL-400) AWS Certified Developer – Associate AWS Certified Solutions Architect – Associate Certified Kubernetes Application Developer (CKAD) Docker Certified Associate (DCA) Scrum Master Certification (CSM/PSM) ITIL Foundation Certification Comp TIA Security+Microsoft Certified: Cybersecurity Architect Expert (Preferred) Relevant certifications in Software Development, Dev Ops, Cloud Computing, Automation, or Digital Enablement are highly desirable.<br><br>Years of Experience :5+ years in relevant experience.<br>Skills :. NET Framework, . NET Core, and C# Development Python Development & Automation ASP. NET MVC & Web Application Development RESTful APIs & System Integrations SQL Databases & Entity Framework Microservices Architecture Frontend Technologies (HTML, CSS, Java Script) CI/CD, Dev Ops, Docker & Cloud Platforms API Testing & Quality Assurance Process Automation & Digital Enablement Git, Azure Dev Ops & Version Control Application Security & Performance Optimization Business Analysis & Requirements Management Troubleshooting & Problem Solving Agile Methodologies & SDLCTechnical Leadership & Mentoring Excellent Communication & Stakeholder Management<br>Important Notice for Candidates:<br>By submitting your application, you confirm that you have read and understood sirar's Candidate Privacy Notice and agree to the processing of your personal data in accordance with it.
Abdulaziz Al‑Zaid Professional Consulting (AZ) is building a scalable B2B Saa S platform that digitizes and automates regulated, document-heavy professional workflows — from client intake and structured data capture to quality controls, approvals, and controlled report issuance — integrated with CRM, analytics, and enterprise systems.<br>We are hiring a hands‑on Senior Agentic AI Engineer to design and ship production‑grade LLM agent systems that automate real workflows (not demos). You will work closely with leadership and a lean engineering team to deliver AI capabilities that are measurable, reliable, secure, and commercially deployable.<br>What you’ll deliver (outcomes) Ship production LLM/agent capabilities that reduce manual effort across intake, validation, evidence extraction, drafting, QA checks, routing, and approvals. Build robust agentic workflows (tool use, routing, state management) with reliability patterns (timeouts, retries, fallbacks) and clear observability. Implement evaluation and quality measurement (offline tests + online monitoring) to continuously improve accuracy, safety, and cost performance. Package repeatable AI solutions that can be deployed internally and offered to clients as deliverables (scoping → delivery → measurable outcomes).<br>Key responsibilities Design and implement multi‑step / tool‑using LLM workflows (function calling, external APIs, RAG, structured outputs). Build reusable orchestration patterns (routing, memory/state, task decomposition, guardrails, error recovery). Own LLMOps: deployment, monitoring, prompt/version management, evaluation harnesses, cost/latency control. Integrate agents with business systems (CRM, document/report pipelines, approvals, analytics) using secure APIs and role/permission models. Establish engineering standards for AI delivery: testing, reliability, logging, incident response, and measurable KPIs (quality, cycle time, adoption). Support client-facing AI delivery where needed (requirements, estimation, proof, rollout).<br>Must‑have (we will screen for this) Proven track record shipping LLM/agent systems into production (not only POCs). Strong experience with tool‑using agents: function calling, API integrations, RAG, structured outputs, and reliability patterns. Hands‑on Python development (production code, services, testing, integrations). Strong understanding of backend systems, APIs, auth, data stores, and production operations. Ability to work fast with a lean team and own delivery end‑to‑end.<br>Strong advantage Experience in regulated / auditable workflows (approvals, audit trails, evidence, controlled issuance). Azure-based delivery experience (or equivalent cloud), including CI/CD and monitoring. Familiarity with agent orchestration frameworks (Lang Graph / Semantic Kernel / Auto Gen / Crew AI or similar). Experience building AI-enabled products with evaluation and measurement discipline.<br>Location Riyadh, Saudi Arabia — On‑site (Full‑Time) Candidates outside Riyadh are welcome if able to relocate.<br>How to apply Email jobs@azv.sa with:CVLinks or brief evidence of shipped work (Git Hub, demos, case summaries — redacted if needed) Your monthly all‑in compensation expectation + notice period Email subject: Senior Agentic AI Engineer – Riyadh#Hiring #Riyadh #Saudi Arabia #AIEngineer #LLM #Gen AI #Agentic AI #Multi Agent #RAG #Function Calling #Python #Azure #Saa S #B2B