AI Application Engineer (LLM / Agentic AI)

One of our leading pharmaceutical clients is seeking an AI Application Engineer to help build next-generation AI-driven applications supporting scientific research and drug discovery initiatives. This role will focus on developing intelligent agents, integrating large language models, and creating AI-powered workflows that enable researchers to interact with large-scale biological datasets and research platforms. The ideal candidate will have experience developing production-grade AI applications and working with modern LLM, agent, and orchestration frameworks.

• 2+ years developing and deploying machine learning or AI solutions

• Strong proficiency in:

• Python and/or TypeScript

• LLM integration

• AI agent development

• Experience with:

• MCP Protocol

• Pydantic AI or similar agent frameworks

• Tool/function-calling architectures

• Claude, OpenAI, or comparable LLM ecosystems

• 2+ years of Google Cloud Platform experience

• Strong Docker and containerization knowledge * FastAPI or similar modern Python framework experience

• Integration testing and stress testing experience

• Retrieval-Augmented Generation (RAG) architectures

• Agent orchestration frameworks

• Drug discovery, biology, bioinformatics, life sciences, or healthcare experience

• Experience supporting scientific research environments