AI Engineer

You will design and implement scalable AI systems that transform unstructured life sciences data into knowledge that drives smarter pharmaceutical decisions.

Your work will accelerate research, improve portfolio strategy, and strengthen competitive intelligence.

In your day-to-day, you will:

• Design GenAI applications (RAG systems, agentic workflows, retrieval solutions)
• Develop and deploy ML models for scientific data
• Build and leverage knowledge graphs

You will build robust AI services that move smoothly from prototype to production.

Solid Machine Learning foundations You will design better solutions by understanding models deeply.

Hands-on experience with GenAI and RAG You will deliver impact quickly in production environments.

Cloud experience (AWS) You will scale and maintain reliable AI systems using Bedrock and APIs.

Ability to work with complex data You will turn scientific and unstructured data into usable knowledge.

Clear communication skills You will connect technical solutions with business and scientific needs.

At Experis, you will apply cutting-edge AI to real pharmaceutical challenges, transforming complex molecular data into actionable insights that impact decision-making. You will join an international, hands-on environment where building, testing, and delivering production-ready solutions matters more than theory.