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Product engineers build the Chai software platform: tools for scientists to query models, visualize molecular structures, and interpret data with our AI in the loop. You'll collaborate on a daily basis with designers, ML researchers, and wet-lab teams to make complex science repeatable. You care about reliability, elegance and utility—on the product surface as well as what's under the hood. After years of foundational R&D, Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to bring the most advanced AI drug design models to market, working alongside a craft-obsessed team of micro pessimists and macro-optimists.
Job Responsibility:
Build the Chai software platform: tools for scientists to query models, visualize molecular structures, and interpret data with our AI in the loop
Collaborate on a daily basis with designers, ML researchers, and wet-lab teams to make complex science repeatable
Care about reliability, elegance and utility—on the product surface as well as what's under the hood
Bring the most advanced AI drug design models to market
Requirements:
Bachelor’s degree or equivalent experience in Computer Science or related field
3 + years building production web applications with modern frameworks (React/Vue, TypeScript/JavaScript, Node/Go/Python back-ends)
Have a knack for finding the smallest amount of code to solve a user problem well
Care about making pixel-perfect products
Data-driven: instrument features, analyze usage, and iterate quickly on feedback
Familiar with automated testing, CI/CD pipelines, and monitoring/alerting for 24 × 7 production services
Able to explain technical trade-offs to non-engineers and to translate scientific requirements into engineering tasks
Enjoy pair-reviewing code, writing docs, and sharing knowledge with teammates
Comfortable iterating quickly in a startup where requirements, and underlying science, evolve fast
Bias for shipping: you value small, incremental improvements over big-bang rewrites
Clear communicator who can simplify complex science for external partners and internal stakeholders
Comfortable in a fast-moving startup where priorities shift and you own features end-to-end, from idea to production and beyond
Nice to have:
Experience optimizing performance or interactive visualizations is a plus
Interest in biotech or computational biology
prior exposure to scientific data, bio-visualization, or HPC workloads is a bonus but not required
What we offer:
Frontier technology: work on the technologies that promises to fundamentally change how new therapeutics are created
World-class people: work with world-renowned leaders in the AI x Biology ecosystem
Velocity and ownership: we move incredibly fast and liberally distribute ownership, which means continuous learning and career growth opportunities are guaranteed
Strong culture and mission: we foster a supportive culture that is mission-driven and high-energy
Highly competitive compensation: we attract the best talent and compensate them accordingly