Software Engineer, AgentOps
Fieldguide, San Francisco, California +1
What you will do
- Agent infrastructure and tooling: Build and maintain the internal platform that makes agentic workflows reliable and easy to adopt for team members—MCP integrations, prompt/skill libraries, shared configurations, knowledge systems, and tooling that connects agents to our codebase, docs, and internal services.
- Developer experience for AI workflows: Make the right way to use AI the easy way for all team members. Build onboarding and documentation, define clear paths for common workflows (planning, testing, ticket creation, code review, production support), and create feedback loops that show what’s working and what isn’t.
- Measurement and attribution: Build instrumentation to track efficiency metrics, agent effectiveness, and team productivity.
- Experimentation and evaluation: The AI tooling landscape changes quickly. Run structured trials of new tools, synthesize learnings, and maintain a living point of view the team can follow.
- Enablement and culture: