Senior Group AI Engineer – Agentic Solutions & LLMOps

CMA CGM; Marseille; Sur place; EUR 85 000 - 110 000; Plein temps

Résumé du poste

CMA CGM is seeking an experienced AI/DevOps engineer to design, build and operate agentic AI solutions across the group. You will deliver end-to-end AI agents, RAG pipelines and tools, while enforcing engineering best practices, CI/CD and security.

You will industrialize deployments on AWS, containerize workloads with Docker/Kubernetes, manage environments as code and drive LLMOps for observability and cost monitoring. Strong collaboration with Engineering and Design Studio is essential.

Qualifications

• Master's degree in computer science or engineering.
• 5+ years of experience in software development and/or DevOps, including hands-on delivery of generative AI solutions to production
• Autonomous, delivery-minded and comfortable with exploratory, fast-moving topics
• Communicate fluently in English, both written and spoken
• Experience within CMA CGM ecosystem is a plus
• Mastery of AI-assisted development tools and their team configuration

Responsabilités

• Design and build end-to-end agentic AI solutions (agents, RAG pipelines, tools, connectors) for prioritized use cases.
• Deliver vibe-coded applications with AI coding agents and enforce engineering best practices (testing, code review, CI/CD, security).
• Define, monitor and improve the coding agent harness (rules, tools, guardrails, evaluations).
• Implement core agent components: orchestration, state management, conversational memory.
• Develop with Python and TypeScript using LangChain/LangGraph and major LLM APIs.
• Contribute reusable building blocks to CMA CGM’s AI platform.
• Design and maintain CI/CD pipelines for AI solutions.
• Containerize and deploy workloads on AWS with Docker and Kubernetes.
• Manage environments and Infrastructure as Code; ensure security/compliance.
• Operate in production with observability, tracing and cost monitoring.
• Document architectures and operational runbooks.
• Collaborate with Engineering and Design Studio teams from discovery to delivery.

Connaissances

Frontend React/TypeScript

Backend Node.js/TypeScript or Python

LLM orchestration LangChain/LangGraph

LLM APIs (Mistral/OpenAI/Anthropic)

AWS, Docker, Kubernetes

CI/CD & Infrastructure as Code

LLMOps & observability tooling

Git & collaborative development

English communication

Team collaboration & UX sensitivity

Formation

Master's degree in computer science or engineering

Outils

LangChain

LangGraph

OpenAI API

Mistral API

Anthropic API

Docker

Kubernetes

AWS

Description du poste

CMA CGM is seeking an experienced AI/DevOps engineer to design, build and operate agentic AI solutions across the group. You will deliver end-to-end AI agents, RAG pipelines and tools, while enforcing engineering best practices, CI/CD and security.

You will industrialize deployments on AWS, containerize workloads with Docker/Kubernetes, manage environments as code and drive LLMOps for observability and cost monitoring. Strong collaboration with Engineering and Design Studio is essential.