AI role · Open offer

LLM Engineer — telecom assistants

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Orange Labs

Permanent (CDI)
Full-time
Senior
GenAI services
Hybrid
4 Rue du Clos Courtel, Rennes, BRE 35512, France · Hybrid
Rennes, France
EUR 50k–70k/year + intéressement

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At a glance

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

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 4 Rue du Clos Courtel, Rennes, BRE 35512, France · Hybrid
Compensation: EUR 50k–70k/year + intéressement
Experience level: Senior
Team: GenAI services
Benefits & perks

About this role

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

Orange Labs is hiring a Senior LLM Engineer — telecom assistants on the GenAI services team (Hybrid · Rennes, 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.

Orange Labs à Rennes conçoit des services GenAI telecom.

LLM Engineer : assistants RAG, garde-fous français, coût/latence à l'échelle.

Missions

Pipelines RAG multicanal avec evals.
Guardrails conformité telecom.

Stack & environnement

Python, LangChain, vector DB, Docker.

Profil recherché

NLP français ; expérience prod LLM.

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.
OpenAI API

Tools & stack

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

Vector DBsTool
Embedding storage, hybrid search, and freshness strategies for RAG and semantic retrieval.
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: Assistant client RAG avec garde-fous et evals en français.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, NLP, and Vector DBs.
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 are comfortable with the hybrid rhythm (Hybrid · Rennes, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 50k–70k/year + intéressement, benefits in At a glance) and your expectations align.

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What the employer asked for

Assistant client RAG avec garde-fous et evals en français.

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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