AI Engineer

Own Windmill's agentic coding and tool/system-building pipeline end-to-end - from the AI backend (planning, tool use, retrieval, self-correction) to the UX and developer experience that wraps it. The bar: an agent that reliably goes from a natural-language spec to a working, deployed workflow or app - and that developers actually enjoy using.

Responsibilities

• Benchmarking: build and maintain the eval harness, task corpus, scoring, and regression tracking. Every prompt / model / tool change is measured.
• Agent loop: design and improve planning, tool use, self-correction, retrieval, execution feedback, multi-file editing, test-driven iteration.
• Integration & DX: own the full surface - UI flows, editor integration, feedback loops, error states - so the experience is polished end-to-end, not just the model calls.
• Prompts & models: systematically optimize prompts; experiment with frontier models (Claude, GPT, Gemini, open-weights); fine-tuning / RL where it pays off.
• Ship to production: everything you build goes live and is used by thousands of developers.

Qualifications

• Strong CS fundamentals - algorithms, systems, distributed systems.
• Solid programming skills (TypeScript, Rust a plus).
• Deep understanding of LLMs, agents, eval methodology - you've built and shipped LLM-based systems, not just played with APIs.
• Rigorous, empirical mindset - you measure before you claim improvement.
• 0–5 years of experience - we care more about what you've built than years on a resume.

Example Projects in Your First 3 Months

• Redesign the agent's multi-step planning so it can scaffold a full CRUD app (frontend + flow + schema) from a single prompt.
• Build a live feedback UI that lets users steer the agent mid-generation - accept, reject, or redirect individual steps.
• Stand up an automated eval pipeline that catches regressions before they ship and benchmarks every prompt/model change.
• Add a retrieval layer that pulls relevant Windmill docs, workspace context, and past scripts into the agent's context at the right time.
• Experiment with frontier models and fine-tuning to push pass rates on complex workflow generation.

Offer Details

Location : Paris hybrid (~3 days/week) or remote within France

Salary : €45K–€90K gross + top of market for level + 20% bonus on collective milestones

Also open to : interns / young graduates (5–6 month internship, €2,000–3,000/month, strong CDI potential)