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AI Integration Engineer

A model in isolation does nothing. Connected, it does everything.

POSITION ON THE USES → BUILDS AXIS · 68% TOWARD BUILD

What it is

The AI Integration Engineer connects AI to the systems people already use — through APIs, MCP servers and the existing toolchain — so capability reaches where the work happens.

A model on its own is a brain in a jar. The value appears when it can read the email, open the drawing, query the system and act inside the tools a business already runs on.

This is the translation layer between a high-level architecture and a production system — quietly the most leverage-rich role on the page.

What you'd do

  • Connect models to business systems via APIs and MCP
  • Make AI reach into existing tools rather than replacing them
  • Handle auth, data flow and reliability across the seam
  • Turn an architectural vision into something that runs
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