Agentic AI engineer for rare disease drug discovery

A fast-growing AI-driven biotech is building the next generation of drug discovery, focused on rare diseases. Most of the thousands of known rare conditions still have no approved therapy. This company brings together AI, large-scale biomedical data and deep pharmacology expertise to find new treatments faster and at lower cost than traditional R&D. They’re now hiring an Agentic AI Engineer to design and build the LLM-powered agents behind their discovery platform.

• Designing and building LLM agents that help scientists generate, prioritise and justify testable therapeutic hypotheses
• Working with drug discovery scientists to understand their real problems, and judging where an agentic approach adds value and where it doesn’t
• Connecting agents to a biomedical knowledge graph, in-house analytical methods and the scientific literature so they reason over the right evidence
• Extending and maintaining the existing suite of GenAI tools as the team’s needs and the wider ecosystem evolve
• Helping set up evaluation, testing and quality standards for agentic systems
• Writing clean, well-tested, well-documented Python that others can build on

• 2+ years’ experience as a software engineer or ML engineer
• A track record of building and shipping LLM-based agentic systems in production, including tool use, multi-step orchestration and reliable behaviour
• Strong Python and solid engineering fundamentals
• Hands-on knowledge of the modern LLM stack: model APIs, prompting, tool calling, RAG, MCP, agent frameworks and evals
• Enjoyment of working closely with non-technical colleagues to understand what they need
• Будет плюсом: Experience in drug discovery, biology or another life sciences field; Experience with knowledge graphs or reasoning over structured and mixed data sources; Experience building evaluation harnesses or test strategies for LLM systems; A habit of getting up to speed quickly in unfamiliar domains; A genuine interest in techbio and patient impact

• You’ll do meaningful, technically challenging work at the frontier of agentic AI, where the output can change outcomes for underserved patient groups.
• You’ll join a collaborative, mission-led team that values learning and ownership.