Software Engineer, AI Agent Governance

Role overview

Build backend capabilities for a product that helps organizations govern the access used by AI agents. You’ll work on a new, evolving offering, taking customer needs from early investigation through implementation and production operation. The role combines hands-on engineering, safe release practices, customer support, and active participation in on-call.

Responsibilities

- Deliver backend features end to end, shaping rough customer requests into useful production changes. - Build testing systems and harnesses that help teams release agent-related changes safely. - Join the on-call rotation and investigate customer-impacting issues, working directly with customers when needed. - Use AI agents in day-to-day engineering while understanding the system well enough to explain its architecture and decisions to teammates. - Adapt implementation plans as customer feedback clarifies the problem and product direction.

Requirements

- At least one year of professional software engineering experience, or equivalent experience shipping real products. - Strong backend fundamentals, including experience building production APIs, databases, and services. - Familiarity with how AI agents work, including tool calls, MCP servers, hooks, and context. - Comfort working in a small, fast-moving environment where requirements may be incomplete and priorities can change. - A strong sense of ownership and interest in building a product that is still developing its market fit.

The stated backend environment includes Python, Postgres, OpenSearch, gRPC, and AWS.

Nice to have

Experience with endpoint or client software, such as device-management tools or software running on laptops, and background in security or identity.

Benefits and work setup

The role is remote-first, with work location expected to be within four hours of Pacific Time. Listed benefits include medical, dental, and vision coverage; mental-health support; a wellness stipend; life and disability insurance; flexible paid time off; paid parental leave; a learning budget; team gatherings; and a retirement plan with employer matching. The stated pay range is $133,500–$150,000 plus equity and benefits; actual pay may vary with skills and experience.