{"id":105889,"date":"2026-08-05T06:20:51","date_gmt":"2026-08-05T06:20:51","guid":{"rendered":"https:\/\/jobs.dataaxisnode.com\/kenya\/uncategorized\/ai-engineer\/"},"modified":"2026-08-05T06:20:51","modified_gmt":"2026-08-05T06:20:51","slug":"ai-engineer","status":"publish","type":"post","link":"https:\/\/jobs.dataaxisnode.com\/kenya\/jobs\/nairobi\/ai-engineer\/","title":{"rendered":"AI Engineer"},"content":{"rendered":"<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\/\", \"@type\": \"JobPosting\", \"title\": \"AI Engineer\", \"description\": \"Role Summary\\nProject A is the AI layer of ALX\u2019s learning platform: onboarding and profiling, a project guide that works alongside learners, the Project-Deconstructor, and the content mappers that connect it all to a competency model. These began as prototypes; the AI Engineer\u2019s job is to make them reliable products. That means owning the systems learners actually touch, the context engineering that decides what an agent knows at any given moment, the tooling and service interfaces agents work through such as the LLM\u2019s\u00a0 access to the learner\u2019s artifact window, and the day-to-day work of keeping long-running, multi-step agents reliable when real learners do unexpected things.\\nYou will work in collaboration with Anthropic Engineers, a team of AI engineers, product managers and data scientists to design world class learning experiences.\\nSpecific Responsibilities\\nProduction AI Products\\nOwn Ai products in production, stable, observable, with regressions caught by evals before learners find them.\\nTake the next prototype from working demo to maintained product, with evals built in from the start rather than bolted on.\\nAgent Architecture & Context Engineering\\nDesign the context and tooling architecture for the agents, what is in context, when, and why.\\nBuild and maintain the service interfaces agents work through, such as the application\u2019s\u00a0 access to the learner\u2019s artifact window.\\nKeep long-running, multi-step agents reliable under real-world learner behaviour, with clear failure modes and recovery.\\nBuild the habit of testing what you ship \u2014 eval loops, regression checks, and fast iteration as a default way of working.\\nSkill Requirements - Essential\\nPython & FastAPI: strong, production-grade experience with real users.\\nShipped LLM applications: at least one AI\/LLM application you have shipped and can discuss in detail \u2014 what broke, how you found out, what you changed. Scale matters less than what you learned from its failures.\\nAgent frameworks: working fluency with agent frameworks we use LangGraph; equivalents fine and a real point of view on context engineering.\\nTesting discipline: the habit of testing what you build.\\nAI-native coding with demonstrated harness engineering experience\\nDesirable not required:\\nReact and full-stack range;\\nLangfuse or similar observability; knowledge graphs.\\nEducational\/Edtech domain experience\\nEssential Traits for Success\\nYou build with AI, not just use it, proper harnesses, eval loops, and fast iteration.\\nYou can\u2019t put an interesting problem down.\\nYou figure things out fast; we don\u2019t need an exact-spec match if you have the base and the initiative.\\nYou favour non-standard evidence of skill, a portfolio of weird side projects beats a polished CV.\\nPerson Specification\/Attributes\\nCourage:\u00a0Willingness to speak up, challenge the status quo, and embrace new challenges.\\nHumility:\u00a0Openness to learning, seeking help when needed, and a focus on serving others.\\nAdventure:\u00a0A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey.\\nInitiative:\u00a0Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond.\\nResilience:\u00a0The ability to bounce back from setbacks, persevere through challenges, and emerge stronger.\", \"datePosted\": \"2026-08-04\", \"hiringOrganization\": {\"@type\": \"Organization\", \"name\": \"ALX\"}, \"jobLocation\": {\"@type\": \"Place\", \"address\": {\"@type\": \"PostalAddress\", \"addressLocality\": \"Nairobi\", \"addressCountry\": \"KE\"}}, \"directApply\": true, \"validThrough\": \"2026-08-18T23:59:59\", \"employmentType\": \"FULL_TIME\"}<\/script><\/p>\n<p><strong>Company:<\/strong> ALX<\/p>\n<p><strong>Location:<\/strong> Nairobi<\/p>\n<p><strong>Job Type:<\/strong> Full Time , Remote<\/p>\n<p><strong>Apply Before:<\/strong> 2026-08-18<\/p>\n<h3>Job Description<\/h3>\n<p>Role Summary<br \/>Project A is the AI layer of ALX\u2019s learning platform: onboarding and profiling, a project guide that works alongside learners, the Project-Deconstructor, and the content mappers that connect it all to a competency model. These began as prototypes; the AI Engineer\u2019s job is to make them reliable products. That means owning the systems learners actually touch, the context engineering that decides what an agent knows at any given moment, the tooling and service interfaces agents work through such as the LLM\u2019s\u00a0 access to the learner\u2019s artifact window, and the day-to-day work of keeping long-running, multi-step agents reliable when real learners do unexpected things.<br \/>You will work in collaboration with Anthropic Engineers, a team of AI engineers, product managers and data scientists to design world class learning experiences.<br \/>Specific Responsibilities<br \/>Production AI Products<br \/>Own Ai products in production, stable, observable, with regressions caught by evals before learners find them.<br \/>Take the next prototype from working demo to maintained product, with evals built in from the start rather than bolted on.<br \/>Agent Architecture &#038; Context Engineering<br \/>Design the context and tooling architecture for the agents, what is in context, when, and why.<br \/>Build and maintain the service interfaces agents work through, such as the application\u2019s\u00a0 access to the learner\u2019s artifact window.<br \/>Keep long-running, multi-step agents reliable under real-world learner behaviour, with clear failure modes and recovery.<br \/>Build the habit of testing what you ship \u2014 eval loops, regression checks, and fast iteration as a default way of working.<br \/>Skill Requirements &#8211; Essential<br \/>Python &#038; FastAPI: strong, production-grade experience with real users.<br \/>Shipped LLM applications: at least one AI\/LLM application you have shipped and can discuss in detail \u2014 what broke, how you found out, what you changed. Scale matters less than what you learned from its failures.<br \/>Agent frameworks: working fluency with agent frameworks we use LangGraph; equivalents fine and a real point of view on context engineering.<br \/>Testing discipline: the habit of testing what you build.<br \/>AI-native coding with demonstrated harness engineering experience<br \/>Desirable not required:<br \/>React and full-stack range;<br \/>Langfuse or similar observability; knowledge graphs.<br \/>Educational\/Edtech domain experience<br \/>Essential Traits for Success<br \/>You build with AI, not just use it, proper harnesses, eval loops, and fast iteration.<br \/>You can\u2019t put an interesting problem down.<br \/>You figure things out fast; we don\u2019t need an exact-spec match if you have the base and the initiative.<br \/>You favour non-standard evidence of skill, a portfolio of weird side projects beats a polished CV.<br \/>Person Specification\/Attributes<br \/>Courage:\u00a0Willingness to speak up, challenge the status quo, and embrace new challenges.<br \/>Humility:\u00a0Openness to learning, seeking help when needed, and a focus on serving others.<br \/>Adventure:\u00a0A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey.<br \/>Initiative:\u00a0Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond.<br \/>Resilience:\u00a0The ability to bounce back from setbacks, persevere through challenges, and emerge stronger.<\/p>\n<h3>How to Apply<\/h3>\n<p>Interested and qualified? Go to ALX on job-boards.greenhouse.io to apply<br \/>Build your CV for free. Download in different templates.<\/p>\n<p><a href=\"https:\/\/www.myjobmag.co.ke\/apply-now\/1296502\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:10px 20px;background:#2271b1;color:#fff;text-decoration:none;border-radius:4px;\">Apply Now<\/a><\/p>\n<p><small>Source: MyJobMag<\/small><\/p>\n<p><!-- job-expiry: 2026-08-18 --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Company: ALX Location: Nairobi Job Type: Full Time , Remote Apply Before: 2026-08-18 Job Description Role SummaryProject A is the AI layer of ALX\u2019s learning platform: onboarding and profiling, a project guide that works alongside learners, the Project-Deconstructor, and the content mappers that connect it all to a competency model. These began as prototypes; the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1408,1409],"tags":[1944,1504,1413,1412],"class_list":["post-105889","post","type-post","status-publish","format-standard","hentry","category-jobs","category-nairobi","tag-alx","tag-full-time-remote","tag-job-listing","tag-myjobmag"],"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/posts\/105889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/comments?post=105889"}],"version-history":[{"count":0,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/posts\/105889\/revisions"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/media?parent=105889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/categories?post=105889"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/kenya\/wp-json\/wp\/v2\/tags?post=105889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}