Software Engineer, Agent Platform

Job Description

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.

Requirements: 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.

Key Skills: 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