Digital R&D Staff Software Engineer

Role Overview

As a Staff Software Engineer, you will work at the forefront of applied AI, building multi-agent architectures, LLM-powered workflows, and intelligent automation pipelines that directly support Sanofi's mission to bring life-saving therapies to patients faster.

What You Will Do

Design, build, and deploy autonomous AI agent systems capable of multi-step reasoning, planning, and task execution across R&D workflows. Develop multi-agent architectures, implement tool-using agents, and build feedback loops and self-correction mechanisms.

Why It Might Be a Fit

This is a high-impact role for an engineer who is passionate about autonomous AI systems and wants to apply them in a meaningful, regulated, and scientifically rigorous environment. You will have the freedom of technical choice to drive innovation and take ownership of technical decisions.

Requirements

• 12+ years of experience in software engineering
• Bachelor's degree in computer science, Engineering, or equivalent experience
• Strong proficiency in Python (3.9+)
• Hands-on experience with LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent agentic frameworks
• Practical experience building applications on top of OpenAI, Anthropic Claude, or open-source LLMs
• Hands-on experience with AWS Bedrock as a managed generative AI platform
• Experience using AWS AgentCore for building, deploying, and managing AI agents at scale
• Practical experience with Anthropic's Model Context Protocol
• Experience designing and implementing end-to-end RAG pipelines
• Working knowledge of at least one vector store (Pinecone, Weaviate, Chroma, pgvector, Qdrant)
• Experience building and consuming REST APIs
• Familiarity with OAuth2, API gateways, and webhook patterns
• Hands-on experience with AWS, including managed AI services (Azure OpenAI Service, AWS Bedrock, Vertex AI)
• Familiarity with Docker, Kubernetes, GitHub Actions, and model deployment pipelines
• Proficiency with SQL, JSON, and working with structured/unstructured data sources
• Demonstrated experience building agentic or autonomous AI systems in a professional setting
• Understanding of agent memory models, tool use, and planning strategies
• Solid grasp of software engineering fundamentals: version control (Git), testing, code review, and documentation
• Awareness of AI safety, responsible AI principles, and the importance of human-in-the-loop design in regulated environments
• Proficiency in JavaScript / Node.js
• Proficiency of microservices, APIs, and cloud security

Benefits

• High-quality healthcare
• Prevention and wellness programs
• At least 14 weeks' gender-neutral parental leave
• Thoughtful, well-crafted rewards package
• Opportunities for growth and career development
• Collaborative environment with a world-class team
• Pioneer in digital transformation, shaping the future of global health