Agentic AI Engineer — Supply Chain (Hybrid, Barcelona)

Sanofi; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Competitive compensation

Career development programs

Descripción de la vacante

Sanofi is seeking an AI Engineer in Barcelona to design and deploy agentic AI systems that optimize global supply chain workflows. You will build multi-agent architectures using LangChain and LangGraph, integrating LLMs and RAG approaches to enable autonomous decision-making at scale.

Applicants should have 3–5 years in AI/ML development or software engineering with data engineering exposure, and a track record of production-grade AI solutions. Hybrid work is available in Barcelona.

Formación

• Bachelor's or Master's in Computer Science, Data Science, AI/ML, or related field.
• 3–5 years hands-on AI/ML development or software engineering with data engineering exposure.
• Proven experience building and deploying AI agents or multi-agent systems in a professional setting.
• Track record delivering production-grade AI or data solutions with measurable business impact.

Responsabilidades

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

Conocimientos

Python

SQL

AI/ML development

Multi-agent systems

Production AI

Educación

Bachelor's or Master's in CS/AI/related

Herramientas

LangChain

LangGraph

AWS Bedrock

OpenAI

Pinecone

AWS / Cloud

W&B Weave

Docker / Kubernetes

Descripción del empleo

Sanofi is seeking an AI Engineer in Barcelona to design and deploy agentic AI systems that optimize global supply chain workflows. You will build multi-agent architectures using LangChain and LangGraph, integrating LLMs and RAG approaches to enable autonomous decision-making at scale.

Applicants should have 3–5 years in AI/ML development or software engineering with data engineering exposure, and a track record of production-grade AI solutions. Hybrid work is available in Barcelona.