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# AI Engineer

- **Company:** Sanofi
- **Location:** Barcelona, Spain (Remote available)
- **Salary:** €43,600.0 - €65,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Information Engineering, Data Systems, Monitoring of Systems, Python (Programming Language), Systems Development Life Cycle, Software Engineering, SQL Databases, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Git, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Docker
- **Published:** September 26, 2026
- **Apply:** https://www.recruit.net/job/ai-engineer-jobs/D6A3BB2FA5C8291F

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Software Engineering, or a related quantitative field

Experience

 * 3-5 years of hands-on experience in AI/ML development or software engineering with working exposure to data engineering

 * Proven experience building and deploying AI agents or multi-agent systems in a professional environment

 * Track record of delivering production-grade AI or data solutions with measurable business impact

Technical Skills

 * Programming: Python (proficient), SQL (advanced)
 * Agentic Frameworks: LangChain, LangGraph or similar
 * LLM & GenAI: AWS Bedrock, prompt engineering, RAG architectures, experience with OpenAI/other providers transferable
 * Vector Databases: Pinecone or equivalent
 * Cloud Platforms: AWS or equivalent
 * MLOPs: W&B Weave or equivalent, model monitoring, CI/CD for AI
 * DevOps: Git, CI/CD pipelines, Docker/Kubernetes

## Description

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Receive expert feedback with personalized suggestions to enhance your resume., Agentic AI Systems Development

 * Design and develop agentic AI systems that automate and optimize end-to-end supply chain workflows, including demand forecasting, inventory management, logistics, and procurement

 * Build multi-agent architectures using frameworks such as LangChain, LangGraph, or equivalent

 * Develop AI-powered decision-making systems that enable autonomous or semi-autonomous operations across supply chain processes

 * Integrate LLMs and generative AI capabilities into operational workflows to enhance intelligence, reasoning, and automation

 * Design and implement RAG (Retrieval-Augmented Generation) architectures and vector database solutions to power knowledge-grounded AI agents


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