Build — infrastructure & cloud
Work mode: RemoteMLOps / AI Platform Engineer
You own the platform that AI runs on. Sitting between DevOps and the AI engineers, you build the deployment, serving, monitoring and evaluation infrastructure that takes AI systems from a prototype to dependable production.
What you’ll do
- Build deployment and serving infrastructure for AI applications.
- Set up model and prompt monitoring, evaluation and cost tracking in production.
- Create the platform patterns AI engineers build on.
- Manage inference cost, latency and scaling.
What we look for
- Engineering experience spanning infrastructure and ML or AI systems.
- Comfort with cloud, containers and CI/CD.
- Understanding of how LLM applications behave and fail in production.
- A platform mindset: you build what others depend on.
Nice to have
- Experience with LLM observability or evaluation tooling.
- Professional French and English.
Apply for this role
Send your CV and a short note on why this role fits. You will hear back from a person, not a tracker.
Work on AI that ships
Real client systems in production, not demos. If that is the work you want, we should talk.