Human experts as API for AI Agents. Backed by Y Combinator.
About the role
We launched as an MCP plugin a few months ago. We're already integrated across Claude Code, Cursor, Codex, ChatGPT, Windsurf, and Lovable. Now we're scaling. You won't get tickets. You'll see a problem, propose how to solve it, and ship it. We compress quarters into weeks.
What they're looking for
- 3+ years of experience
- Will sponsor
- Full-time Engineering role
More about this role
Tldr; Build the human escalation layer that every AI agent will rely on. Founding engineer, full equity band.
Agents are now writing the majority of code in Cursor, Claude Code, Codex, and Devin. They draft contracts. They run support. They've crossed the line from demo to production.
But agents still get stuck. They make confident mistakes in unfamiliar domains. They loop on bugs they can't diagnose. They ship architectures their users will quietly regret.
Most people think this gap closes as models get better. We think it grows. As agents take on more autonomous, higher-stakes work, the long tail of "things only a domain expert can resolve" gets longer, not shorter. Every serious agentic system five years from now will have a human escalation layer underneath it.
Humwork is building that layer.
When an agent hits its limit, it calls Humwork. We match it to a verified expert — engineer, lawyer, infra specialist, designer, scientist, whoever fits — in under 30 seconds, hand off full context, and the expert works the problem inside the agent's loop. The agent resumes. The user never leaves their flow.
We launched as an MCP plugin a few months ago. We're already integrated across...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Founding team roles · San Francisco Bay Area