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Generative AI Internship – Agentic Architectures (M/F)

AltenCompany website

GrenoblePublished on 5 November 2026

You design an AI agent architecture that fits business needs, then test it in a proof of concept built on MAIA, a strategic solution for Worldgrid.

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Job description

This internship at Alten in Grenoble focuses on generative AI and agentic architectures. Your work helps improve MAIA, a strategic solution for Worldgrid.

You propose an architecture, defend it to the team, then build a proof of concept and measure its performance. You gain rare experience in prompt engineering and an in-depth understanding of how to integrate LLMs into real systems.

The internship is open to final-year engineering school or second-year master’s students.

What you'll do

  • Propose an agentic architecture that fits business needs
  • Defend your architecture to the team with solid arguments (efficiency, fit)
  • Build a proof of concept based on MAIA
  • Improve results through prompt engineering
  • Evaluate the performance and reliability of the approaches tested

Who they're looking for

  • Final-year student (engineering school or second-year master’s) in computer science, AI or data science
  • Passionate about artificial intelligence, especially generative AI
  • Motivated by teamwork and sharing technology solutions
  • Technical skills: Linux, Bash, Python, Ollama, LLMs, SQL, AI agents
  • Curious and eager to innovate in a fast-moving field

Prepare your interview

  1. Learn what Alten does, the sector it works in and the projects on its website.
  2. Go through each task listed here and work out why the team needs it done.
  3. Prepare a real example for each task, then tie it back to what the company does.
See the full method and a sample answer (in French)

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