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Développeur IA — RAG & Guardrails
CAT-AMANIA
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.
3 habilidades 2 herramientas
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Empleo
Modalidad Hybrid
Ubicación 32 Avenue de Wagram, 75008 Paris, France · Hybrid
Compensación EUR 500-650/day Nivel de experiencia Beneficios Mission longue, télétravail partiel, équipe plateforme. Cómo aplicar Montre une implémentation guardrails avec logs et policy tests.
Publicada 24 sept 2026 CAT-AMANIA is hiring a Senior Développeur IA — RAG & Guardrails on the RAG Security 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.
CAT-AMANIA ouvre une mission RAG + guardrails avec forte exigence de gouvernance et suivi opérationnel.
Le poste couvre retrieval, politiques de sécurité, tests de robustesse et monitoring continu.
Ce que vous allez faire
Livrer en production des systèmes RAG avec guardrails en production avec évaluation offline, monitoring et plan de rollback. Travailler avec produit, métier et design pour cadrer les besoins et priorités. Améliorer qualité des données, observabilité et KPI business liés aux usages IA. Documenter runbooks, incidents et standards de sécurité pour l'équipe. Profil recherché
Expérience concrète Python / stack ML-LLM avec features déjà déployées. Bonne pratique SQL, expérimentation et communication claire aux non-tech. Capacité à gérer les compromis qualité, coût, latence et sécurité. 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.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
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: Montre une implémentation guardrails avec logs et policy tests. ✓ Several of these show up in recent shipped work—not only on your CV: Python, LangChain, NLP, Vector DBs, and Docker. ✓ 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 500-650/day, benefits in At a glance) and your expectations align. Lo que pide la empresa
Montre une implémentation guardrails avec logs et policy tests.
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
Développeur IA — RAG & Guardrails
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
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