Software Engineer, Product
Chaidiscovery · San Francisco office
About this role
## About Chai Discovery Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction—so scientists can move faster and pursue targets that other methods cannot reach. AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly, Pfizer, and Novartis are adopting our platform to power their drug discovery programs. ## About the role You’ll build **Chai’s software factory for medicine**—the applied AI layer and product that turn our foundation models into tools the world’s best drug designers use every day. A great model needs the right product around it to be useful. You’ll turn raw model capability into something a biologist reaches for instinctively, and carry what you learn back to the models. Nobody has fully defined what it means to design a medicine on a computer—so this category of software is yours to invent. **Key problems you’ll work on include:** - Rendering large molecular structures interactively without dropping frames - Designing interfaces that let scientists reason alongside the models - Turning messy scientific workflows into something fast, elegant, and repeatable You’ll work in a tight loop with researchers, scientists, partner-facing teams, and customers. ## About you We index on **taste, agency, and ownership**. We’re looking for engineers who: - Get obsessed with hard problems - Ship small and often - Are comfortable adapting a model to a real task and sweating the details of interaction **We’re looking for:** - **2+ years** building and owning production products end to end with modern frameworks (e.g., **React or Vue, TypeScript**, and a **Node/Go/Python** backend) - A bias for the **smallest amount of code** that solves the user’s problem well, with real care about pixel-level craft - Fluency with **automated testing, CI/CD, and monitoring** for 24/7 services - The instinct to **instrument, read data, and iterate** - The ability to explain technical tradeoffs to non-engineers, understand what customers need, and translate scientific requirements into engineering work A background in biology is **not required**. What makes the difference is technical excellence, curiosity about the domain, and grit. Prior exposure to enterprise or scientific software is a bonus. ## We offer - The opportunity to work at the vanguard of AI research and frontier biology with world-class people - A mission that matters - A culture of high velocity and ownership - Compensation aligned with the team’s impact
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