*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.
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
*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
