AI Engineer

ABOUT THE COMPANY

The future of Africa will be defined by its leaders and their ability to unleash the incredible potential of the continent. ALX sees unprecedented opportunities for our fellow Africans to innovate, re-imagine and be the catalysts for transformation on the continent. ALX is a Pan-African leadership movement for high potential and high impact leaders that enables them to take on Africa’s greatest challenges and most exciting opportunities. By collaborating, growing and networking together in the ALX community space, members will maximize their impact as they shape the future of the continent. The first ALX Leadership Lab will launch in Nairobi to bring the ALX community to life. We offer unique Leadership Accelerators for Young Leaders and for Young Professionals in leadership roles, as well as high impact workshops and events.

JOB SUMMARY

Specific ResponsibilitiesProduction AI ProductsOwn Ai products in production, stable, observable, with regressions caught by evals before learners find them.Take the next prototype from working demo to maintained product, with evals built in from the start rather than bolted on.Agent Architecture & Context EngineeringDesign the context and tooling architecture for the agents, what is in context, when, and why.Build and maintain the service interfaces agents work through, such as the application’s  access to the learner’s artifact window.Keep long-running, multi-step agents reliable under real-world learner behaviour, with clear failure modes and recovery.Build the habit of testing what you ship — eval loops, regression checks, and fast iteration as a default way of working.Skill Requirements - EssentialPython & FastAPI: strong, production-grade experience with real users.Shipped LLM applications: at least one AI/LLM application you have shipped and can discuss in detail — what broke, how you found out, what you changed. Scale matters less than what you learned from its failures.Agent frameworks: working fluency with agent frameworks (we use LangGraph; equivalents fine) and a real point of view on context engineering.Testing discipline: the habit of testing what you build.AI-native coding with demonstrated harness engineering experienceDesirable (not required): React and full-stack range; Langfuse or similar observability; knowledge graphs.Educational/Edtech domain experienceEssential Traits for SuccessYou build with AI, not just use it, proper harnesses, eval loops, and fast iteration.You can’t put an interesting problem down.You figure things out fast; we don’t need an exact-spec match if you have the base and the initiative.You favour non-standard evidence of skill, a portfolio of weird side projects beats a polished CV.Person Specification/AttributesCourage: Willingness to speak up, challenge the status quo, and embrace new challenges.Humility: Openness to learning, seeking help when needed, and a focus on serving others.Adventure: A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey.Initiative: Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond.Resilience: The ability to bounce back from setbacks, persevere through challenges, and emerge stronger.

REQUIRED SKILLS

Artificial intelligence (AI), Python, Programming, Machine Learning (ML)

REQUIRED EDUCATION

Diploma, Associate's degree