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AI Software Engineer Intern

STATION F · Paris

Nouveau
Junior 🇬🇧 English
Python TypeScript Go Java C++ RAG Data structures Algorithms Object-oriented design Software engineering principles

Description du poste

About the role

Qantev is an AI company transforming health insurance by building autonomous, multi‑step Agentic AI pipelines. As an AI Software Engineer Intern you will work on production‑grade systems that power our cutting‑edge products, gaining hands‑on experience at the intersection of data science and engineering.

Key responsibilities

  • Design, develop, and deploy complex, multi‑step reasoning Agentic AI pipelines and Retrieval‑Augmented Generation (RAG) applications.
  • Contribute new features and enhancements to the core platform, including APIs, data‑processing pipelines, and user‑facing components.
  • Build and scale robust systems using Python and TypeScript while maintaining high standards for code quality, performance, and reliability.
  • Navigate a sophisticated codebase independently, translating complex requirements into elegant technical specifications.
  • Identify and resolve performance bottlenecks, continuously improving system efficiency and development velocity.

Required profile

  • Builder mindset – you create tools to eliminate bottlenecks.
  • Currently pursuing a Master’s or Engineering degree at a Tier‑1 institution.
  • Comfortable working autonomously in a large, complex codebase.
  • Strong foundation in AI‑intensive systems (RAG & Agentic frameworks) and core computer‑science fundamentals.
  • Product‑focused – you write code that delivers real user value.
  • Excellent analytical and problem‑solving abilities.
  • Fluent English communication skills.

Required skills

  • Python
  • TypeScript (or another language such as Go, Java, C++)
  • Experience with RAG and Agentic AI frameworks
  • Data structures, algorithms, object‑oriented design
  • Software engineering best practices

What we offer

  • Unparalleled ownership and growth opportunities as an early hire.
  • Exposure to cutting‑edge AI research applied to real‑world healthcare challenges.
  • Mentorship from a diverse, talented team of professionals.

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STATION F

Paris