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Hybrid (San Francisco, CA)$90k - $140k + equityFull-timePosted 3mo ago

About the role

Founding engineer role at Humwork to build the human escalation layer for AI agents. Own end-to-end components from matching engine to expert app and client dashboard, with equity and full-time compensation.

Responsibilities

  • - Matching engine: embeddings + domain matcher for rapid expert routing
  • - Realtime infra: FastAPI + Postgres + Redis + Ably for agent ↔ expert sessions with reliable delivery and context handoff
  • - MCP plugin layer: tools and hooks to decide when/how to escalate within host agents
  • - Expert app: Expo / React Native / NativeWind
  • - Client dashboard, billing, ratings, observability to create a robust marketplace
  • - Propose solutions and ship without tickets; deliver in weeks rather than quarters

Qualifications

  • - Worked at frontier AI/ML organizations or equivalent (OpenAI, Anthropic, DeepMind, Meta AI, Cursor, Cognition, Mercor, etc.) or similar
  • - Ability to move across Postgres queries, LL M evals, and React Native builds
  • - Opinions on agent UX, MCP, context handoff, and agent failure signals
  • - Demonstrated fast shipping with production readiness

Skills

Required:PostgreSQLPythonReact NativeLLMs
Nice to have:Next.js

Benefits

  • Full health, dental, vision
  • Tools, hardware, and credits
  • In-person in SF
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Humwork

Human experts as API for AI Agents

Humwork lets AI agents chat with human experts in real-time. When AI agents like Claude Code or OpenClaw hit a wall, Humwork's MCP server connects them to a verified domain expert in under 30 seconds. Our experts include senior engineers, lawyers, marketers, designers, and more.