Senior AI Engineer A distance Temps plein

Notre client :

A global pharmaceutical company and one of the world’s leading manufacturers of generic and specialty medicines. You will join the AI team that builds AI-native products for R&D, Manufacturing, Supply Chain, Commercial, Finance and Procurement.

Vos tâches :

• Translate ambiguous business requirements from stakeholders across R&D, Manufacturing, Supply Chain, Commercial, Finance and
• Procurement into AI-native solutions with measurable ROI
• Prototype rapidly with real or synthetic enterprise data and take solutions from POC through MVP to scalable production services
• Design and implement RAG pipelines, copilots and agentic workflows on Azure AI Foundry, Azure OpenAI and Databricks
• Define guardrails and governance, including model validation, evaluation frameworks, safety and compliance checks
• Deploy and maintain AI components on Azure, monitoring their performance, cost and quality
• Produce architecture diagrams, design docs and other technical documentation
• Collaborate with full-stack and frontend engineers, QA and product on integration, AI output quality and the roadmap

Expérience et compétences requises :

• 5+ years of experience in software or data engineering
• 2+ years of experience building LLM applications in production, with measurable business impact
• Strong command of Python and writing clean, production-grade code
• Hands-on experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalent agent frameworks
• Hands-on experience building agentic AI systems in production, including tool use, autonomous workflows and multi-agent orchestration with planner/executor or supervisor patterns
• Deep understanding of RAG patterns, including chunking, embeddings and retrieval evaluation
• Hands-on experience with vector databases such as Azure AI Search, pgvector, Pinecone or Weaviate
• Solid understanding of prompt engineering and structured output design
• Hands-on experience with LLM evaluation and observability using LangSmith, Langfuse or in-house eval harnesses, including offline and online quality measurement
• Hands-on experience with Azure AI Foundry and Azure OpenAI
• Hands-on experience with Databricks
• Hands-on experience building APIs and microservices on Azure
• Hands-on experience with CI/CD for AI workloads and Git
• Working knowledge of API, web service and data security practices
• Working knowledge of React or Streamlit sufficient to integrate AI features into user interfaces
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or a related field
• Proven ability to explain AI capabilities to business stakeholders in terms of business value
• Proven ability to work independently with minimal supervision and as a reliable team player
• English – B2

Ce serait un plus :

• Experience in regulated industries such as pharma, healthcare or finance, including familiarity with compliance constraints
• Hands-on experience with fine-tuning, distillation or other model adaptation techniques
• Open-source contributions to the LLM or AI agents ecosystem

Conditions de travail

Semaine de travail de 5 jours, journée de travail de 8 heures ;

Travail à distance.