Founding Agent Harness Engineer
Palo Alto, California, United StatesAll locationsPalo Alto, California, United StatesOnsite in Palo Alto On-site
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About the role
We are looking for a Founding Agent Systems Engineer to build the agent harnesses, evaluation systems, workflows, and feedback loops behind our product. This role is ideal for someone who is strong in Python and systems engineering, understands LLM agents and evaluation, and enjoys turning research ideas into working products. You will work on the systems that allow agents to collaborate, inspect code, make changes, run tests, measure progress, and improve over time. This is a deeply technical and product-oriented role at the intersection of LLM agents, evaluation, developer tools, workflow automation, and applied AI systems.
What you'll bring
- Strong Python engineering skills.
- Experience building LLM agents, evaluation harnesses, developer tools, applied AI systems, or automation workflows.
- Strong systems instincts and the ability to build reliable, debuggable tooling.
- Experience with testing, benchmarking, CI, code analysis, or automated software workflows.
- Ability to reason about agent behavior, failure modes, evaluation quality, and product usefulness.
- Comfort working across agent logic, backend systems, infrastructure, and user-facing product requirements.
- Strong product intuition and the ability to build demos that can evolve into real products.
- High ownership and the ability to operate effectively in an early-stage startup environment.
- Coding agents, eval harnesses, SWE-bench-style environments, or tool-use systems.
- Multi-agent or long-running agent workflows.
- LLM observability, tracing, evals, or RL workflows.
- CI/CD, automated testing, static analysis, or developer tooling.