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๐Ÿ“‹ Description

  • Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement
  • Build the integration layer (via MCP) that lets agents securely call backend systems and business
  • Render model output into live, streamed, accessible UI via generative-UI protocols
  • Ground models in real data: retrieval, embeddings, and feedback loops that actually close
  • Treat evals as a first-class system - provable improvement, not vibes
  • Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature

๐ŸŽฏ Requirements

  • Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy
  • 5+ years shipping production software, 2+ building with LLMs in production (real users, not demos)
  • Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). Built against a
  • The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python
  • Working fluency with retrieval/embeddings and SQL

๐ŸŽ Benefits

  • Comprehensive health benefits for you and your dependents, including access to OpenUp for
  • Learning and development opportunities including an annual learning budget, access to self-paced
  • Family Leave Plus gives you additional fully paid weeks of parental leave on top of
  • Equity participation program
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