Valeo
automotive supplier
GraduateInTrainingProgram(GIT),AgenticAISystems
Neural analysis suggests this role is
optimal for Entry candidates.
“Graduate In Training Program (GIT), Agentic AI Systems at Valeo. Skills: Agentic AI Systems, Agentic Workflows, Multi-Agent Orchestration, Tool & API Integration, Full-Stack POC Development, Agentic Evaluation & Guardrails, System Prompt Engineering. 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”
Industry & Context.
map complex operational tasks into discrete agentic steps and handle edge cases where autonomous loops might fail
What They're Looking For.
Must Have
2024- 2025 Graduate, Bachelor's degree in Mechatronics, Computer Engineering, Computer Science or a closely related field, Excellent command of both English and Arabic (written and verbal communication is essential), Proficiency in orchestration libraries such as LangChain, CrewAI, AutoGen, Python skills with experience in FastAPI or Flask, Deep understanding of structured output (JSON mode), function calling, and techniques for grounding agents using Retrieval-Augmented Generation (RAG), Ability to build functional UI/UX for demonstrators using modern web tools (e.g. , Streamlit, Tailwind CSS, or basic React), The ability to map complex operational tasks into discrete agentic steps and handle edge cases where autonomous loops might fail, Familiarity with vector databases and observability tools for tracking agent traces
Nice to Have
French is a plus
What You'll Do.
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, Develop and manage systems where multiple specialized agents collaborate (e.
, a "Dispatcher" agent coordinating with "Diagnostic" and "Navigation" agents) to solve complex user requests, Build and integrate custom "tools" that allow agents to interact with external environments, including automotive APIs, real-time databases, and web services, Develop lightweight, responsive web-based interfaces (e.
, Streamlit, FastAPI, or React) to serve as the front-end for agentic operational demonstrators, Implement testing frameworks to evaluate agent trajectory, tool-calling accuracy, and "loop-breaking" to ensure reliable performance in non-deterministic environments, Optimize complex system instructions and few-shot examples to steer agent behavior, memory management, and persona consistency.
How You'll Work.
Team & Collaboration
multi-cultural environment that values diversity and international collaboration
Communication Scope
Excellent command of both English and Arabic (written and verbal communication is essential)
Full Job Description
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. ****Key Responsibilities**** 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. ## **Qualifications** 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 c
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