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Agents Engineer — tool-use & planning
H Company
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 1 herramienta
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Empleo
Modalidad Hybrid
Ubicación 48 Rue de la Chaussée d'Antin, Paris, IDF 75009, France · Hybrid
Compensación EUR 80k–110k/year + BSPCE Nivel de experiencia Beneficios BSPCE, benchmarks publics, équipe recherche appliquée. Cómo aplicar Agent avec tool-use, planification et evals rigoureuses.
Publicada 28 dic 2026 H Company is hiring a Senior Agents Engineer — tool-use & planning on the Autonomous agents 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.
H Company construit des agents autonomes avec tool-use, planification et mémoire pour des workflows enterprise depuis Paris .
Agents Engineer (hybride Paris 9e) : orchestrer LLM, outils internes et evals rigoureuses sur benchmarks internes et publics.
À propos de H Company
Scale-up IA française focalisée agents et automatisation. Culture ingénierie forte avec boucles eval continues. Clients enterprise en Europe et États-Unis. Missions
Implémenter graphes d'agents (planification, mémoire, retries). Instrumenter traces et métriques succès/échec par tâche. Itérer sur la robustesse face aux tools non fiables. Stack & environnement
Python, LangChain/LangGraph, OpenAI API, vector DBs. Hybride Paris 9e. Profil recherché
4+ ans shipping LLM/agents ; portfolio de systèmes multi-outils. 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.
✓ You can show evidence in your application: Agent avec tool-use, planification et evals rigoureuses. ✓ 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 80k–110k/year + BSPCE, benefits in At a glance) and your expectations align. Lo que pide la empresa
Agent avec tool-use, planification et evals rigoureuses.
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
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Título
Agents Engineer — tool-use & planning
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
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