Senior AI Product Engineer
Smeetz
Description du poste
About the role
Smeetz is an AI‑powered unified commerce platform serving the European leisure and entertainment sector. As a Senior AI Product Engineer you will own the two AI surfaces – the Smeetz MCP server and the AI chatbot – from concept to production, working directly with venue operators and making product decisions without an intermediary product manager.
Key responsibilities
- Own the end‑to‑end development, operation and continuous improvement of the MCP server and AI chatbot.
- Conduct discovery independently: talk to venue operators, analyse usage traces, define specifications, ship features and measure impact.
- Maintain reliability, latency and error‑rate targets; use full observability data to drive performance improvements.
- Build and maintain an evaluation layer to make prompt and model changes measurable before release.
- Document the AI surfaces thoroughly so future engineers can understand and extend them without additional guidance.
- Contribute to the shared Claude Code skill library and raise the bar for AI‑native delivery across the engineering team.
Required profile
- Minimum 5 years of production code experience, including ownership of at least one system with on‑call responsibilities.
- At least 2 years building LLM‑based features that reached real users (tool calling, structured outputs, evaluation, cost/latency control, production‑grade failure handling).
- Proven expertise in an AI‑native software development lifecycle, using Claude Code or an equivalent agentic environment daily.
- Experience designing APIs or tool surfaces for AI agents, focusing on naming, granularity and recoverable error messages.
- Demonstrated ability to run discovery, write specs and define success metrics independently.
- Fluent English communication skills.
Required skills
- LLM development and deployment.
- Claude Code (or equivalent agentic programming environment).
- Langfuse or similar LLM observability tools.
- API design for AI agents.
- Production‑grade monitoring, evaluation and performance optimisation.
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