Build and iterate on LLM features, including agentic workflows, using LangGraph and LangSmith.
Scale the platform foundations behind these features — orchestration, performance, and reliability.
Partner closely with the team's ML Engineer on design, evaluation, and productionization of AI systems.
Requirements
5+ years of experience in software engineering and a proven track record of shipping production systems.
Hands-on experience building LLM-powered features in production, with a clear understanding of the trade-offs (quality, cost, latency, safety) and how they connect to product and business needs.
Know how to systematically improve LLM systems: versioned prompts, offline/online evaluations, data analysis, and iteration based on real-world signals.
Can industrialize LLM systems at scale (caching, batching, model routing, observability, rate limiting, ML CI/CD pipelines).
Strong in Python and comfortable working with REST APIs and making pragmatic architectural decisions.
Operate as a senior engineer: debugging complex systems, refactoring with intent, reviewing code thoughtfully, and thinking ahead about scalability.
Take ownership: identify gaps, propose solutions, and go beyond immediate scope.
Connect technical decisions to product and business outcomes.
Regularly use AI tools in daily workflow.
Communicate clearly and collaborate effectively, especially with ML teams.
Fluent in English (written and spoken) and comfortable working in an international environment.
Basic knowledge of Kubernetes and Terraform to independently deploy and operate services is a plus.
French is a plus for day-to-day collaboration in our Paris office.
Tech Stack
Kubernetes
Python
Terraform
Benefits
Package that includes BSPCE
Lunch voucher (Swile, 9€ at 50%)
Sponsored Wellpass (gymlib)
Non-charged health insurance for children (Sidecare / Generali)
Up to €300 to improve your home office set-up
Yearly holiday allowance
Referral bonus of 4000€ for any new Guardian we might hire thanks to you
Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)
Remote policy: hybrid (3 days/week at the office in Paris)
Opportunities for career development in the long term