Software Engineer, AI Platform

ABOUT CHAI DISCOVERY Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, GSK https://endpoints.news/chai-discovery-signs-gsk-deal-to-make-biologics-with-ai/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, Bristol Meyers https://www.linkedin.com/feed/update/urn:li:activity:7496300911523246080/, argenx https://x.com/chaidiscovery/status/2077422480617267230?s=20 and Novartis https://www.chaidiscovery.com/news/novartis-partnership all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future. We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods. We value diverse perspectives and are ready to find greatness in unexpected places. ABOUT THE ROLE Build the AI platform that lets scientists direct research programs with agents. We believe scientists should be able to work at the level of the questions they want answered and delegate more of the work required to answer them. Making this possible requires inventing the fundamental abstractions through which people, agents, and Chai’s models work together. - Work directly with scientists and model researchers to define how agents use Chai’s foundation models to design molecules and guide experiments. - Build products that shorten the cycle from an idea to an experiment to the next decision, while keeping scientists able to understand and direct the work. - Build the core abstractions for agent execution, model inference, and scientific tools so new capabilities can work together across the workspace. ABOUT YOU We look for technical depth, strong software architecture, and product judgment, with experience building complex applications or agent systems. You can find clear abstractions in a messy domain and build systems that hold up as their scope grows. We value a practical understanding of where agents fail and how to tell whether they’re doing useful work. WE OFFER The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

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