AI-Augmented Apps Intern: Build End-to-End Solutions

CMA CGM; Marseille; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Marseille location

Job summary

CMA CGM invites an ambitious engineer-in-training to join the Shipping - Information Technology team in Marseille for a 6-month internship. You will take ownership of an existing AI-augmented application and drive development from spec to production, focusing on language-model based components and user collaboration.

You will learn to balance model usage costs with performance, engage non-technical stakeholders, and deliver concrete results with a product mindset in a dynamic global logistics

Qualifications

• Bac+5 engineering school or Master’s in Computer Science.
• Strong command of TypeScript/JavaScript and/or Python.
• Experience developing REST APIs and web interfaces (React is a plus).
• Hands-on practice of Git and collaborative workflows (pull requests, code review).
• Strong interest in generative AI; first experience with agentic approaches is a plus.
• Appreciated assets: FastAPI, Node.js, Bun, automated testing, Python data processing.
• Familiarity with digital accessibility standards (RGAA, WCAG) and/or GDPR topics is a definite plus.

Responsibilities

• Own existing codebase; design and develop new features from specification to production.
• Evolve AI components (language models, RAG, conversational assistants) with cost/resource awareness.
• Engage with user teams to gather needs and present technical choices clearly to non-technical stakeholders.

Skills

TypeScript/JavaScript

Python

REST APIs

React

Git workflows

Generative AI

Accessibility (RGAA)

Education

Bac+5 engineering or MSc CS

Tools

FastAPI

Node.js

Bun

Automated testing

Python data processing

Job description

CMA CGM invites an ambitious engineer-in-training to join the Shipping - Information Technology team in Marseille for a 6-month internship. You will take ownership of an existing AI-augmented application and drive development from spec to production, focusing on language-model based components and user collaboration.

You will learn to balance model usage costs with performance, engage non-technical stakeholders, and deliver concrete results with a product mindset in a dynamic global logistics