AI role · Open offer

LLM Engineer — remote France

Mistral AI

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Remote
Location: Remote · France
Compensation: EUR 90k–130k/year + BSPCE
Experience level: Senior
Team: Model delivery
Benefits & perks

About this role

What the team is looking for and how this position fits.

Mistral AI is hiring a Senior LLM Engineer — remote France on the Model delivery team (Remote · Remote, France). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Mistral AI recrute LLM Engineers 100 % remote France.

Fine-tuning, evals, serving à l'échelle — modèles ouverts et enterprise.

Missions

Qualité modèles benchmarks et clients.
Optimisation inference (quantization).

Stack & environnement

Python, PyTorch, CUDA, Kubernetes.

Profil recherché

LLM prod ; éligibilité France.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Fine-tuning, evals ou serving LLM avec benchmarks reproductibles.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, NLP, and Kubernetes.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You communicate clearly in writing, document decisions, and can overlap with the team’s core hours for pairing and incident response.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

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What the employer asked for

Fine-tuning, evals ou serving LLM avec benchmarks reproductibles.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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LLM Engineer — remote France

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