Stagiaire Ingénieur(e) - Révolutionner Le "design-to-code" : Automatisation Et Agents Ai Dans Un Contexte Médical Critique (h/f)

GE HealthCare Technologies

Buc, France
Not specified; not specified; benefits include int...
Not specified
Typescript and python development
React and node.js web stack
Docker and linux environment
GE HealthCare Technologies is seeking a Stagiaire Ingénieur(e) to join their multidisciplinary team in Buc, France, focusing on the design-to-code process through the integration of AI agents in critical medical contexts. The role emphasizes innovation, rapid prototyping, and the creation of robust code to enhance application development

Job Summary

  • The primary mission is to explore, prototype, and integrate next-generation AI assistants to drastically reduce the time from UX mock-up to functional prototype.
  • Candidates will build pipelines that translate Figma designs directly into business-ready React components while ensuring code robustness and maintainability.
  • This role involves developing modular agent skills for automated tasks like unit testing, documentation, and refactoring within a critical medical context.

Matching Summary

Match Score: 85

GE HealthCare Technologies is seeking a Stagiaire Ingénieur(e) to join their multidisciplinary team in Buc, France, focusing on the design-to-code process through the integration of AI agents in critical medical contexts. The role emphasizes innovation, rapid prototyping, and the creation of robust code to enhance application development.

Salary

Not specified; Not specified; Benefits include international career development and flexible culture

Skills & Requirements

Must-have

  • TypeScript and Python development
  • React and Node.js web stack
  • Docker and Linux environment
  • Generative AI and LLM integration
  • Figma design tool proficiency

Nice-to-have

  • Experience with LangChain frameworks
  • Knowledge of Model Context Protocol
  • Vector databases and RAG implementation
  • Tinker mindset for new technologies
  • UX design adoption support skills

Key Requirements

  • Engineering school or Master's degree (BAC +5)
  • Solid foundation in Web Development (JS/TS)
  • Strong interest in Generative AI technologies

Work Rights

Not specified

Tailored Resume

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