Valeo est une entreprise mondiale de haute technologie qui conoit des solutions rvolutionnaires pour rinventer la mobilit. Nous sommes un quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit dans le monde entier. Notre vision Inventer une mobilit plus verte et plus sre, grce des solutions axes sur la conduite intuitive et la rduction des missions de CO2. Nous sommes leaders dans nos domaines d'activit et reconnus comme l'une des plus grandes entreprises innovantes au monde.
You will be joining the AI4ALL initiative within our Group IS Application Center (GISACC). This agile team is dedicated to revolutionizing our products and internal tools by harnessing the power of cutting-edge Generative AI. We aim to build scalable, serverless, and intelligent applications that seamlessly integrate into Valeo's workflow.
Mission
As a Senior AI Data Engineer, you will bridge the gap between raw enterprise data and our Generative AI ecosystem. You will architect the nervous system of our AI models, ensuring our LLMs have access to high-quality, real-time, and contextually relevant data to power the next generation of Valeo's Software Defined Vehicle (SDV) tools and internal processes.
Key Responsibilities
- Advanced RAG Architecture Design and implement end-to-end pipelines for Retrieval-Augmented Generation (RAG), including advanced retrieval techniques, Graph RAG, Agentic RAG, and multimodal RAG.
- Vector Database Management Architect and optimize vector stores (e.g., Qdrant, Pinecone) to handle high-dimensional embeddings and ensure low-latency similarity searches.
- Data Connectivity Design, develop, and maintain secure data connectors to pull information from various external tools, SaaS platforms, and internal databases.
- Data Pre-processing for Gen-AI Develop cleaning and normalization workflows specifically for unstructured data (PDFs, HTML, Markdown) to ensure optimal LLM performance.
- Orchestration Use tools like LangChain, LlamaIndex, or Haystack to orchestrate complex data flows between storage, embedding models, and LLM endpoints.
- Monitoring & Evaluation Implement RAG-as-a-service monitoring to track retrieval quality (faithfulness, relevancy) and data drift in production.
Candidate Profile
- Education B.Sc. or M.Sc. in Computer Science, Data Engineering, or a related field.
- Experience 5+ years in Data Engineering with a recent focus on AI/ML pipelines.
- Technical Skills
- Languages Expert proficiency in Python and SQL; knowledge of Java or Go is a plus.
- Data Tools Experience with Spark, Kafka, Airflow/Prefect, and dbt.
- AI Frameworks Hands-on experience with LangChain, LlamaIndex, OpenAI API, Hugging Face, MCP, A2A, and ADK.
- Vector DBs Proficiency with Qdrant, Pinecone, Chroma, Weaviate, or pgvector.
- Cloud/DevOps Knowledge of GCP/AWS, Docker, and Kubernetes.
- Preferred Deep understanding of embedding models, chunking strategies, and unstructured data extraction tools (e.g., Unstructured.io, PyMuPDF).
Position
R&D Engineer
Dpartement
Software Development
Schedule
Temps plein
Employee Status
CDI
Type de contrat
Job Posting Date
2026-01-26
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
