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LightOn
Indefinido (CDI) Tiempo completo Senior GenAI platform Hybrid 2 Rue de la Bourse, Paris, IDF 75002, France · Hybrid Paris, France EUR 70k–95k/year + BSPCE Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
4 habilidades 2 herramientas
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Empleo
Modalidad Hybrid
Ubicación 2 Rue de la Bourse, Paris, IDF 75002, France · Hybrid
Compensación EUR 70k–95k/year + BSPCE Nivel de experiencia Beneficios BSPCE, remote partiel, modèles souverains. Cómo aplicar Pipeline RAG en prod avec evals et fine-tuning documentés.
Publicada 30 jun 2026
Actualizada 3 ago 2026 LightOn is hiring a Senior Ingénieur LLM — RAG enterprise on the GenAI platform team (Hybrid · Paris, 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.
LightOn déploie des LLM souverains et des systèmes RAG enterprise pour des grands comptes européens depuis Paris .
Ingénieur LLM RAG (hybride Paris 2e) : retrieval hybride, fine-tuning, évaluation qualité et mise en production sur modèles LightOn.
À propos de LightOn
Scale-up française spécialisée GenAI et hardware photonique. Clients enterprise en finance, industrie et secteur public. Culture produit avec exigence conformité et souveraineté des données. Missions
Concevoir pipelines RAG avec chunking, reranking et guardrails. Fine-tuner et benchmarker modèles sur corpus clients anonymisés. Accompagner les équipes client au handover et au monitoring. Stack & environnement
Python, LangChain, PyTorch, vector DBs, Kubernetes. Hybride Paris 2e ; français et anglais. Profil recherché
5+ ans LLM/RAG en production B2B. Éligibilité travail en France. 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
Calling frontier APIs with retries, cost controls, prompt versioning, and safety filters.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Vector DBs Tool
Embedding storage, hybrid search, and freshness strategies for RAG and semantic retrieval.
Docker Tool
Containerized services and reproducible dev environments for ML and LLM workloads.
✓ You can show evidence in your application: Pipeline RAG en prod avec evals et fine-tuning documentés. ✓ Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, PyTorch, 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 · Paris, 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 70k–95k/year + BSPCE, benefits in At a glance) and your expectations align. Lo que pide la empresa
Pipeline RAG en prod avec evals et fine-tuning documentés.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Ingénieur LLM — RAG enterprise
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
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