The AI Engineer takes the AI layer of ALX's learning platform, Project A, from prototype to reliable product: 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.
Responsibilities
- ▹Own 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
- ▹Design 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 LLM'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
Requirements
- ▹Strong, production-grade Python and FastAPI experience with real users
- ▹At least one shipped AI/LLM application you can discuss in detail, including what broke and how you found out
About the company
ALX Africa is a non-profit organisation under the ALX Foundation dedicated to unlocking Africa's digital future through world-class tech skills training and career acceleration programmes. It aims to empower 2 million Africans into sustainable tech careers by 2030, operates hubs in 8 African cities, and has produced 347k+ graduates since 2020.
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