Senior AI Engineer
HybridBrussels, Brussels Capital, Belgium
Brussels, Brussels Capital, BelgiumHybridPart TimeSenior LevelBachelors DegreeSoftwareLarge
Part TimeSenior LevelBachelors DegreeLargeSoftware
Job Summary
Ship AI features into a live, global SaaS product used by enterprises and government agencies, moving from prototype to production with streaming responses and agent loops. Build, instrument, and evaluate ML models while treating silent failures as defects; orchestrate autonomous actions with checkpointing, resumption, and human-in-the-loop interrupts. Shape the evolving AI platform architecture and mentor engineers across Data Science and MLOps teams. Work in a hybrid Brussels office (two days in-office) supporting real customers who depend on daily uptime.
Required Qualifications
- 5+ years of software engineering experience building and running production systems
- 3+ years applying data science/ML in production (LLM applications, RAG, NLP, recommendation engines)
- Hands-on with agent-loop frameworks (e.g., LangGraph) and tool-calling standards (e.g., MCP): tool cycles, state across steps, human-in-the-loop interrupts, checkpointing and resumption
- Experience with agent harness architecture, such as sandboxed code execution, tool permissioning, safely orchestrating autonomous actions
- Experience with agent evaluation frameworks which test tool-calling behavior and agent trajectories
- Strong observability instincts: a silent, no-output turn reads as a defect, not a non-event
- Retrieval/RAG judgment: hybrid semantic + keyword search, rank fusion, precision/recall tradeoffs
- Experience building stateless services at real scale multi-replica deployments, no sticky sessions, concurrent requests
- Comfortable with SQL and relational databases, plus familiarity with time-series, graph, or vector databases
- Strong command of modern Python typing/validation (Pydantic v2) and production AI tooling (LangChain, LangGraph, etc.)
- A bachelor's degree or equivalent related working experience
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