We are looking for a Staff Full-Stack Engineer with 6-10 years of experience to help build the AI-native application layer. Scientists at some of the world's largest materials and chemical companies use this product every day to design, run and analyze their R&D. We're merging our legacy system of record with our agentic AI system so that humans and AI work together in the same interface. We want an AI-native builder who owns the full stack, from the data model and backend APIs to the frontend and user experience, and who doesn't want to be limited to frontend or backend work. If you love science, like owning outcomes and want to build products that very demanding users rely on, this role is for you.
What will you be doing?
- Building the next generation core application end to end (data model, TypeScript/NestJS backend, React frontend), so that both the AI and the user can work in it
- Making every UI element agent-operable: building dynamic views that agents can fill in, add recommendations to, and walk scientists through, with input requested only when the agent needs it
- Connecting the system-of-record product (formulation, synthesis, master data management, admin, and the new Process Dev vertical) with the agentic AI layer in a GxP environment
- Designing scalable, enterprise-grade systems with permission-based access control (ACLs), zero-downtime scaling and migrations with no data loss across DynamoDB, Databricks and Python Flask services
- Owning features from spec to iteration with product, design and customers, while setting the standard for AI-driven development practices on the team
Hard skills Experience building AI products in production (streaming, agentic systems, evals, or retrieval)
Seniority 6 - 10 years of experience as a full-stack engineer
Work experience Experience owning end-to-end product delivery (specs, architecture, delivery, and iteration)
Hard skills Full-stack development experience across React, TypeScript, and Python (Node.js, NestJS, or Flask)
Nice-to-have
Education
Top school (UC Berkeley, Cornell, etc.)
Hard skills Experience with agentic UI generation (dynamic interfaces composed by agents)
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