Agentic AI Engineer for Global Supply Chain

Lex; Barcelona; Híbrido; EUR 44.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Competitive compensation and bonuses

Global impact and career growth

Descripción de la vacante

Sanofi is seeking an AI Engineer to design and deploy agentic AI systems that transform global supply chains, enabling real‑time decision making and autonomous operations. You will work with LangChain, LangGraph, and RAG architectures, integrating LLMs into practical workflows.

The role requires 3–5 years in AI/ML or software engineering, strong Python and SQL, and hands‑on experience with vector databases and cloud platforms. Hybrid Barcelona‑based position with competitive compensation.

Formación

• 3–5 years hands‑on experience in AI/ML development or software engineering with data engineering exposure.
• 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.

Responsabilidades

• Design and develop agentic AI systems that automate end‑to‑end supply chain workflows.
• Build multi‑agent architectures using LangChain/LangGraph or equivalent.
• Develop AI‑powered decision‑making systems for autonomous operations across supply chain processes.
• Integrate LLMs and generative AI into workflows to enhance intelligence and automation.
• Design and implement RAG architectures and vector database solutions for knowledge‑grounded agents.

Conocimientos

Python

SQL

Agentic AI development

Multi-agent systems

Prompt engineering

LLM integration

LangChain/LangGraph

Educación

Bachelor's or Master's in CS/AI/Data Science

Herramientas

LangChain

LangGraph

Pinecone

AWS Bedrock

CI/CD

Docker

Kubernetes

Weave

Descripción del empleo

Sanofi is seeking an AI Engineer to design and deploy agentic AI systems that transform global supply chains, enabling real‑time decision making and autonomous operations. You will work with LangChain, LangGraph, and RAG architectures, integrating LLMs into practical workflows.

The role requires 3–5 years in AI/ML or software engineering, strong Python and SQL, and hands‑on experience with vector databases and cloud platforms. Hybrid Barcelona‑based position with competitive compensation.