tkxel jobs

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role: Forward Deployed Engineer, Agentic Platform</h3> <p style="margin:0 0 12px; ************;">Tkxel is seeking a <strong style="font-weight:700;">Forward Deployed Engineer, Agentic Platform</strong> to join their team in Riyadh, Riyadh. This full-time role involves integrating AI into critical sectors such as finance, healthcare, and telecommunications, serving as a bridge between the core North product and client engineering teams. The position requires 5-10 years of experience and focuses on designing, building, and deploying agentic workflows powered by Large Language Models (LLMs) to deliver business value in enterprise workflows.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Impact</h3> <p style="margin:0 0 12px; ************;">This role offers an opportunity to influence how enterprises leverage AI in real-world applications. The engineer will work directly with customers to solve complex problems, often developing novel agent workflows that integrate LLMs with various tools, APIs, and data sources. The expectation is to deliver reliable, observable, safe, and auditable AI agents from the initial prototype phase through to production.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key 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;">Collaborate with enterprise customers to translate ambiguous business problems into well-defined agentic workflows with clear success criteria.</li> <li style="margin:0 0 6px;">Lead the design, development, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, ensuring enterprise-grade reliability and performance.</li> <li style="margin:0 0 6px;">Contribute to the North AI workspace platform by building and shipping features across the full product lifecycle, from conceptualization to production.</li> <li style="margin:0 0 6px;">Take ownership of use case scoping and shaping end-to-end, adapting to various technical areas, including frontend, to achieve effective solutions.</li> <li style="margin:0 0 6px;">Contribute to shared frameworks and patterns to ensure consistent, high-quality delivery across customer engagements and internal teams.</li> <li style="margin:0 0 6px;">Drive clarity in ambiguous situations, build alignment among stakeholders, and enhance engineering quality across the organization.</li> <li style="margin:0 0 6px;">Travel up to 20–40% for on-site work with customers and partners.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Requirements</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;">Demonstrated experience building and deploying production-grade software in Python, with a focus on clean, testable, observable, and scalable code.</li> <li style="margin:0 0 6px;">Proven ability to build and deploy highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns such as ReAct or Plan-and-Execute.</li> <li style="margin:0 0 6px;">Deep familiarity with the LLM stack, including frontier models, vector databases, and orchestration frameworks.</li> <li style="margin:0 0 6px;">Ability to develop robust evaluation frameworks to measure agent accuracy, safety, and latency beyond basic trial and error.</li> <li style="margin:0 0 6px;">Experience working directly with customers and leading technical discussions with enterprise stakeholders, translating business needs into technical specifications.</li> <li style="margin:0 0 6px;">Experience owning the full scope of a use case from end-to-end.</li> <li style="margin:0 0 6px;">Adept at working in fast-paced and ambiguous environments, maintaining execution quality even with shifting priorities.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and 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;">Experience setting architectural standards for AI and agentic systems across distributed teams.</li> <li style="margin:0 0 6px;">Ability to adapt to unfamiliar technical areas, such as frontend development, as required by project demands.</li> <li style="margin:0 0 6px;">Exposure to regulated or sensitive industry environments, including finance, healthcare, or telecommunications.</li> <li style="margin:0 0 6px;">Experience with enterprise security, compliance, or auditability requirements for AI systems.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, Riyadh, involving direct collaboration with enterprise customers and internal teams. The role requires a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions in a dynamic environment.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span><span><span><span>This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.<br></span></span></span></span></p><br><p><span><span><span><span>We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.<br></span></span></span></span></p><br><ul><li><p>Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies<br></p><br></li><li><p>Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance<br></p><br></li><li><p>Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production<br></p><br></li><li><p>Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution<br></p><br></li><li><p>Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams<br></p><br></li><li><p>Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization<br></p><br></li><li><p>Travel up to 20–40% to work on-site with customers and partners<br></p><br></li></ul><br><span>Requirements</span><ul><li><p>You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code<br></p><br></li><li><p>You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute<br></p><br></li><li><p>You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks<br></p><br></li><li><p>You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency<br></p><br></li><li><p>You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs<br></p><br></li><li><p>You have experience owning the full scope of a use case end-to-end<br></p><br></li><li><p>You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting<br></p><br></li></ul>It's a bonus if you have:<br><br><ul><li><p>Experience setting architectural standards for AI and agentic systems across distributed teams<br></p><br></li><li><p>Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it<br></p><br></li><li><p>Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)<br></p><br></li><li><p>Experience with enterprise security, compliance, or auditability requirements for AI systems<br></p><br></li></ul><br> </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>