About the Role

Join a product engineering team building an AI-native application for scientific research and development. You will help bring core systems of record and agentic AI into a shared interface used by scientists in the materials and chemicals sectors.

What You'll Do

Build the core application end to end, spanning data models, TypeScript and NestJS backend services, and React interfaces.

Create dynamic, agent-operable views where AI can enter information, provide recommendations, and guide users through workflows.

Connect product workflows for formulation, synthesis, master data management, administration, and process development with the AI layer in a GxP environment.

Design enterprise-grade systems with permission-based access controls and safe scaling and migrations across DynamoDB, Databricks, and Python Flask services.

Own features from product specification through iteration with product, design, and customers, and help establish AI-driven development practices.

What We're Looking For

6 to 10 years of full-stack engineering experience and a track record of owning products or features end to end.

Experience building across React, TypeScript, and Python, with Node.js, NestJS, or Flask.

Experience setting architecture for a product area or leading engineers through product development from specification to iteration.

Hands-on experience shipping AI or agent features to users, such as streaming, tool calling, evaluations, or retrieval.

Product engineering experience in AI or developer tools, plus an interest in scientific software and agent-driven interfaces.

Strong computer science fundamentals and the ability to take autonomous ownership beyond executing tickets.

Authorization to work in the United States without visa sponsorship.

Compensation & Benefits

Base salary: $240,000 to $275,000 annually. Visa sponsorship is not available.

Location

Hybrid role based in Oakland, California.