Fullstack- AI Engineer, AI4ALL

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. Mission Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI.

We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation. Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow. We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions.

We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.

Responsibilities

Design, build, and maintain end-to-end features across our AI framework — from backend services and agentic pipelines to the user-facing interfaces that expose them. Develop backend APIs and services that integrate LLMs, agentic workflows, and tool/data integrations. Build and maintain frontend interfaces for internal AI tools and dashboards, working directly with the same APIs you build on the backend. Implement and optimize RAG pipelines and LLM orchestration.

Deploy and operate services on cloud infrastructure using containerization, with attention to observability, performance, and reliability in production. Conduct testing at multiple levels (unit, API, load) for the components you build, on both backend and frontend. Document components and contribute to team-wide engineering standards and best practices. Education/Training B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.

B.Sc. in Computer science

Professional Experience

2-5 years of professional software engineering experience. Hands-on experience with both backend and frontend development (e.g., Python/FastAPI on the backend, React/TypeScript on the frontend) — you should be comfortable owning a feature from an API endpoint through to the UI that consumes it, not backend or frontend alone. Practical, hands-on experience with generative AI / LLM-based systems specifically — e.g., building with LLM APIs, RAG, prompt engineering, or agentic frameworks; general/classical ML or data science experience alone does not substitute for this.

Experience with containerization (e.g., Docker).

Preferred Qualifications

Experience with a cloud platform (AWS, Azure, GCP, or similar); hands-on experience with Google Cloud Platform (GCP) specifically is a big plus. Experience with an agentic/LLM-orchestration framework such as Google ADK, LangChain, LangGraph, or CrewAI. Familiarity with tool-integration standards such as MCP (Model Context Protocol).

Job

R&D Engineer Organization: Software Development Schedule: Full time Employee Status: Regular Job Type: Job Posting Date: 2026-06-02 Join 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 development More information on Valeo: https://www.valeo.com