Senior AI Software Engineer

• Design, build, and operate AI agents in production (multi-agent architecture: pre-processing, deterministic routing, LLM-as-judge, SOP-driven agents).

• Ship fast and often: daily iterations driven by real bugs and tickets from production, not by R&D.

• Deploy and operate autonomously: CI/CD, sandbox/production environments, deployment scripts, monitoring (Langfuse, observability for resolver agents).

• Design agent evaluations: evals, LLM-as-judge, fixed-context replay, regression tests : if we can't measure it, we don't ship it.

• Build solid local test environments: reproduce before you fix.

• Integrate internal data to build relevant context accurately and in a controlled way (context engineering).

• Discover needs directly with business teams (CX, RevOps, Data), hand agents over in forward-deployed-engineer mode, and contribute to the architectural vision of the agent platform.

Must-have:

• 5+ years shipping and running production systems, with production-grade code and a real sense of urgency.

• Whole-system thinker: you challenge architecture decisions and weigh the business impact of technical choices.

• Comfortable with ambiguity: you turn a fuzzy problem into a shipped solution without a pre-written spec.

• DevOps-fluent: own deployment end-to-end, infra-as-code, debug network environments (VPN, proxies).

• Agents & LLMs : Hands-on experience shipping agents to production (frameworks such as ADK, LangChain, etc.), applied prompt engineering, evaluation.

• Hands-on experience shipping agents to production (ADK, LangChain, or similar), with applied prompt engineering and evaluation.

• You build with AI daily (Claude Code, Cursor, or equivalent) — not just building agents.

• Fluent in French and English.

Nice to have:

• ADK v2 (Google Agent Development Kit) and the A2A protocol.

• Langfuse or an equivalent LLM observability tool.

• LLM cost optimization at scale (caching, routing, model selection).

• Tech lead / CTO background, or forward-deployed-engineer experience.

• You're looking for a research-oriented data science role : we need a builder, not an R&D profile.

• You want a pure execution role here, the big-picture view and the ability to evolve the system matter as much as the code itself.

1. 30 min call with Talent Acquisition

2. Technical assessment 

3. Vision & systems interview with the Chief Data and AI Officer

4. Team meet-and-greet

• A place to grow, together : Join an international team in a bright, collaborative office located in a vibrant neighborhood.

• Practical perks for everyday balance: RTT days off, 50% public transport reimbursement, Sustainable Mobility Package (whether you ride a classic bike or go electric, we support your choice to commute greener) and daily Swile meal vouchers (€12.50/day).

• Learning, every step of the way: Access to English classes and 155,000+ courses on Udemy, plus a strong internal culture of knowledge-sharing and support.

Flexible for life : A remote-friendly setup, budget to support your home workspace, and relocation assistance for international talents.

• Wellbeing that works : Top-notch private healthcare (70% covered), 6-week second-parent leave, extra time off if your child is sick and needs you, and Several services related to prevention, health and personal and professional well-being on Welii platform

• A culture that cares : From inter-office trips to regular team events, there are plenty of ways to connect beyond your day-to-day. You’ll also find active social, green, and LGBTQIA+ communities, plus Work Council benefits via Leeto, all here to support what matters to you, inside and outside of work.