Graduate In Training Program (GIT), Agentic AI Systems

Valeo est une entreprise mondiale de haute technologie qui conçoit des solutions révolutionnaires pour réinventer la mobilité. Nous sommes un équipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilité dans le monde entier. Notre vision ? Inventer une mobilité plus verte et plus sûre, grâce à des solutions axées sur la conduite intuitive et la réduction des émissions de CO2. Nous sommes leaders dans nos domaines d'activité et reconnus comme l'une des plus grandes entreprises innovantes au monde.Key ResponsibilitiesAs 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.QualificationsRequired Skills & QualificationsAcademic 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 LangChain, CrewAI, AutoGen.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.Position~AI4allDépartement~Software DevelopmentSchedule~Temps pleinEmployee Status~Alternant (Fixed Term)Type de contrat~Job Posting Date~2026-05-12Join Us !Being part of our team, you will join~ one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development a multi-cultural environment that values diversity and international collaboration more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable developmentMore information on Valeo~ https~//www.valeo.com