Graduate In Training Program; GIT), Agentic AI Systems

Graduate Internship Trainee

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

As a Graduate Internship Trainee in the VITE R&I Team, you will be actively involved in:

• Design and Architect Agentic Workflows:
  Move beyond simple prompting to implement complex reasoning patterns such as ReAct (Reason + Act), Plan-and-Solve, and Self-Reflection loops.
• Multi-Agent Orchestration:
  Develop and manage systems where multiple specialized agents collaborate (e.g., a "Dispatcher" agent coordinating with "Diagnostic" and "Navigation" agents) to solve complex user requests.
• Tool & API Integration:
  Build and integrate custom "tools" that allow agents to interact with external environments, including automotive APIs, real-time databases, and web services.
• Full-Stack POC Development:
  Develop lightweight, responsive web-based interfaces (e.g., Streamlit, FastAPI, or React) to serve as the front-end for agentic operational demonstrators.
• Agentic Evaluation & Guardrails:
  Implement testing frameworks to evaluate agent trajectory, tool-calling accuracy, and "loop-breaking" to ensure reliable performance in non-deterministic environments.
• System Prompt Engineering:
  Optimize complex system instructions and few-shot examples to steer agent behavior, memory management, and persona consistency.

Required Skills & Qualifications

• Academic Status:
  Must be a 2024- 2025 Graduate.
• Educational Background:
  Bachelor's degree in Mechatronics, Computer Engineering, Computer Science or a closely related field.
• Language Proficiency:
  Excellent command of both English and Arabic (written and verbal communication is essential). French is a strong plus.
• Agentic Frameworks:
  Proficiency in orchestration libraries such as Lang Chain, CrewAI, Auto Gen.
• Backend & API Development:
  Strong Python skills with experience in FastAPI or Flask to create the "connective tissue" between the AI agent and the user interface.
• Prompt Engineering & Tool Calling:
  Deep understanding of structured output (JSON mode), function calling, and techniques for grounding agents using Retrieval-Augmented Generation (RAG).
• Frontend Basics:
  Ability to build functional UI/UX for demonstrators using modern web tools (e.g., Streamlit, Tailwind CSS, or basic React).
• Systems Thinking:
  The ability to map complex operational tasks into discrete agentic steps and handle edge cases where autonomous loops might fail.
• Modern AI Stack:
  Familiarity with vector databases and observability tools for tracking agent traces.

Program Details Status:
Full time.

Location:

On-site.