Internship · AI Engineering

Galileo Studio

Las Rozas de Madrid

On-site

EUR 8,900 - 13,000

Part time

14 days+

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Job summary

Galileo Studio is seeking bachelor's or master's students to join our engineering team and work on AI-driven use cases across ventures, with mentorship from day one. You will prototype features with LLMs, build prompts, prepare data, and code with agents like Claude Code and Cursor while documenting your learnings.

The role emphasizes curiosity, autonomy, and a demonstrated contribution via a repo, personal project, or thesis.

Qualifications

  • Student in engineering/CS/telecommunications or related field.
  • Knowledge of Python or TypeScript.
  • Interest in LLMs and applied AI.
  • Evidence of a repo, personal project, or thesis.
  • Curiosity and autonomy to learn fast.

Responsibilities

  • Prototype AI features with LLMs, embeddings and RAG
  • Build and evaluate prompts and agent flows on real use cases
  • Prepare data and tests to measure the quality of what you build
  • Code with agents like Claude Code and Cursor alongside the team
  • Document and present what you learn and build

Skills

Python
TypeScript
LLMs
Applied AI

Education

Bachelor's or Master's student in Engineering/CS/Telecommunications

Tools

Claude Code
Cursor

Job description

We're looking for bachelor's or master's students eager to build products with AI. You'll join the engineering team and work on real copilot, agent and RAG use cases across our ventures, with a mentor supporting you from day one.

What you'll do
  • Prototype AI features with LLMs, embeddings and RAG
  • Build and evaluate prompts and agent flows on real use cases
  • Prepare data and tests to measure the quality of what we build
  • Code with agents like Claude Code and Cursor alongside the team
  • Document and present what you learn and build
What we're looking for
  • Bachelor's or master's student in engineering, computer science, telecommunications or related fields
  • Knowledge of Python or TypeScript
  • Genuine interest in LLMs and applied AI
  • Something to show us: a repo, a personal project or a thesis
  • Curiosity and autonomy to learn fast
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