Senior AI Engineer
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CONTEXTE
Un groupe international de luxe accélère sur l'IA générative et agentique. Plusieurs agents ont été développés par des prestataires externes et doivent maintenant être internalisés : intégration à l'environnement Azure, reprise des évolutions, déploiement et gestion du run. D'autres projets sont à cadrer et à prototyper.
Exemples de projets :
- Traitement automatisé des avis consommateurs, avec réponse automatique et ouverture de tickets support
- Assistant de création de contenu emailing, à enrichir avec de la traduction/localisation
- Agent CRM de recommandation de stratégies de communication client (personnalisation, timing, boucle de rétroaction)
MISSIONS
- Reprendre les agents existants (Python, Git Lab) et les mettre en production avec les équipes Data Engineering et MLOps : CI/CD, conteneurisation, observabilité
- Mettre en place le monitoring et l'alerting (qualité des réponses, dérive, latence, coûts) ainsi que le suivi Fin Ops
- Cadrer de nouveaux cas d'usage avec les équipes métier : faisabilité, KPIs, critères d'acceptation
- Concevoir et prototyper des architectures RAG, agents et multi-agents, avec des protocoles d'évaluation rigoureux
- Documenter et assurer le transfert de connaissances aux équipes internes
MODALITÉS
- Freelance (régie), 9 mois minimum
- Démarrage : au plus tard le 16 novembre 2026 si possible
- Process : entretien de fit (1h) puis test technique (lecture de code + conception d'algorithme)
- 5 ans d'expérience minimum, idéalement avec un parcours software ou data engineering évoluant vers l'AI engineering
- Excellente maîtrise de Python et du code de production : tests, versioning, qualité
- Expérience concrète de mise en production d'agents LLM (Lang Chain/Lang Graph ou équivalent, RAG, évaluation)
- Pratiques Dev Ops/LLMOps : CI/CD, Docker, Kubernetes, monitoring
- Azure apprécié (Azure OpenAI notamment)
- Sensibilité aux sujets sécurité et gouvernance : RGPD, contrôle des accès,
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