Principal Engineer

I am seeking a Principal Engineer to join an elite AI-for-science initiative backed by one of the world's most successful venture creation firms. This is an opportunity to build AI-powered platforms accelerating scientific discovery, drug development, and biological research alongside world-class scientists and machine learning researchers. The organisation sits behind the creation of more than 100 breakthrough biotech companies, including one of the most influential names in modern biotechnology. Their mission is to combine AI, machine learning, and scientific innovation to transform how new medicines and technologies are discovered. You’ll join a small, highly technical engineering team building AI-first systems used directly by researchers tackling some of the most complex challenges in life sciences. What You’ll Do: Own the technical architecture for AI-powered products spanning scientific workflows, data infrastructure, and agentic AI systems Design and build production-grade software end-to-end, from APIs and data models through cloud infrastructure, deployment, and observability Partner directly with scientists and ML researchers to understand complex research problems and translate them into scalable software Lead architectural decisions around distributed systems, AI integration, data platforms, and build-versus-buy trade-offs Build and deploy LLM-powered applications, agentic workflows, and AI-native developer tooling Shape technical direction alongside product and research leaders before implementation begins Drive engineering excellence through architecture reviews, technical documentation, and thoughtful system design Occasionally provide technical leadership to embedded engineering contractors while remaining deeply hands-on What We’re Looking For: Experience acting as the technical authority for complex production software systems Strong background building distributed systems and scalable cloud-native applications Experience deploying AI or machine learning systems into production, including LLMs, inference platforms, or agentic workflows Experience partnering closely with research or ML teams to bring experimental models into production Exceptional software engineering fundamentals, including system design, testing, observability, and maintainability Strong technical communication skills and the ability to thrive in highly ambiguous, fast-moving environments Curiosity for scientific discovery and an interest in building technology that accelerates research This is an opportunity to work on genuinely difficult engineering challenges at the intersection of AI, biology, and scientific discovery . You’ll help build the digital platform powering the next generation of AI-first drug discovery, developing technologies that enable scientists to make better decisions, uncover new biological insights, and accelerate breakthrough discoveries. If you’re excited by high ownership, technical autonomy, and applying cutting-edge AI to solve meaningful scientific problems, this is one of the most impactful engineering opportunities in the industry. If you’d like to find out more, apply today! #J-18808-Ljbffr