Agentic AI Engineer (life sciences)

Agentic AI Engineer (life sciences)CambridgeTech R&D /Full-time /Hybridapply for this jobDo you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients?   About Healx Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply! Our values Care for Rare – Rare disease patients are at the heart of what we do  Grow as individuals – We are learners always seeking to enhance our expertise  Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards  The role Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, the scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases. You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the  landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to  sharpen how Healx  makes better decisions in drug discovery. Key responsibilities Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress. Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn’t Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem Expand and maintain our existing genAI tools so they keep pace with the team’s needs and a fast-moving ecosystem Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures Write clear, maintainable, well-documented code that others on the team can build on What success looks likeIn 3 months, you have: Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase Built working relationships with...