ModelOp's Enterprise AI Command Center is the system of record that unifies every AI asset so you bring ML, GenAI, and agentic AI to production 10× faster. Backed by a16z.
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.
What they're looking for
- 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
More about this role
Peano AI is building the infrastructure and application stack for the next generation of agentic AI systems.
We believe future AI applications will involve many agents working together: using tools, sharing context, evaluating their own behavior, modifying systems, and improving over time. On top of our Agent Cloud infrastructure, we are building an agentic system: an application layer that can continuously optimize models, codebases, workflows, and software systems.
In the near term, this means building agent systems that help codebases evolve with minimal human supervision: cleaner abstractions, stronger tests, lower technical debt, faster iteration, and better engineering velocity. Over time, we believe the same approach can extend to cloud optimization, database optimization, enterprise workflows, and more general applications.
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...
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