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Radical AI is seeking engineers to build and operate production AI agents for materials discovery. You will own tools, workflows, evaluations, and observability, delivering features across data layers, APIs, agents, and lab/customer applications.
The role requires hands-on experience with Python, Go, and TypeScript, API design, and modern frontend tech, with emphasis on building scalable, observable systems and contributing to CI/CD pipelines.
Build and operate production AI agents for materials discovery, including their tools, workflows, evaluations, and observability. Deliver features across the data layer, APIs, agents, and customer and lab applications, while contributing to testing and CI/CD.
Requires at least five years of professional experience building production backend systems and hands-on experience operating LLM-based agents or workflows. Candidates should also have TypeScript and modern frontend experience, API and database fundamentals, familiarity with agent evaluation patterns, and the ability to work across a Python, Go, and TypeScript monorepo.
Production Backend Systems, LLM-Based Agents, Agentic System Design, Python, Go, TypeScript, SvelteKit, API Design, gRPC, Protocol Buffers, MongoDB, Data Modeling, Production Data Migrations, Agent Evaluation, Automated Testing, CI/CD