AI Engineer

You will design, build, and deploy production-grade AI systems — multi-agent pipelines, LLM integrations, and workflow automation tools that work inside real client infrastructure.

This is not a research role. Everything you build ships into production. You will be expected to own your systems end to end — from architecture to deployment to monitoring.

Strong Python and experience building with LLM APIs — OpenAI, Anthropic, or equivalent.

Experience with multi-agent frameworks — LangGraph, CrewAI, or similar.

Ability to integrate AI capabilities into existing systems without rebuilding what already works.

Understanding of production deployment — Docker, API design, monitoring basics.

No vibe coding — every architectural decision must be understood and defensible.

Competitive remote salary for West African market.

Direct collaboration with Tabempa's engineering leadership.

Work on AI systems that are already in production — NeuraLaunch runs 16 specialized agents in coordinated execution waves.