Graduate In Training Program (git), Agentic Ai Systems

Valeo

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Agentic workflow design with react patterns
Multi-agent orchestration using langchain or crewai
Python backend development with fastapi
** Valeo is seeking candidates for its Graduate In Training Program within the VITE R&I Team, focusing on advanced AI systems for automotive solutions. The role involves designing complex agentic workflows, multi-agent orchestration, and full-stack development to support innovative automotive technologies. **

Job Summary

  • The role involves designing complex reasoning patterns like ReAct and Plan-and-Solve for agentic systems within Valeo's R&I team.
  • Candidates will collaborate on multi-agent orchestration to solve complex user requests in the automotive mobility sector.
  • Join a global innovative company with over 20,000 engineers dedicated to reinventing greener and more secure mobility.

Matching Summary

Match Score: 75

** Valeo is seeking candidates for its Graduate In Training Program within the VITE R&I Team, focusing on advanced AI systems for automotive solutions. The role involves designing complex agentic workflows, multi-agent orchestration, and full-stack development to support innovative automotive technologies. **

Skills & Requirements

Must-have

  • Agentic workflow design with ReAct patterns
  • Multi-agent orchestration using LangChain or CrewAI
  • Python backend development with FastAPI
  • Prompt engineering and tool calling expertise
  • Full-stack POC development with Streamlit or React

Nice-to-have

  • French language proficiency
  • Vector database familiarity
  • Observability tools for agent traces
  • Systems thinking for edge case handling
  • Tailwind CSS UI experience

Key Requirements

  • Must be a 2024-2025 Graduate
  • Bachelor's degree in Mechatronics, Computer Engineering, or Computer Science
  • Excellent command of English and Arabic
  • Proficiency in orchestration libraries such as AutoGen or CrewAI

Work Rights

Not specified

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