Senior Applied AI Enginner, AI Platform at Headway · LumiJobs

Responsibilities

Self-serve gets a function most of the way. It doesn't get them all the way.
Legal still reads every provider contract and payer amendment by hand, because what would help isn't a chat window. It's a system that knows what a redline means here, what gets escalated, and what our position was the last four times. Credentialing, claims exceptions, and CX triage each have their own version: work that is obviously automatable but full of enough domain-specific detail that nobody outside the function can build it, and nobody inside can build it alone.
That's this role. You'll embed with one function at a time and build them a real product on top of Eddy. Then you'll do the harder half: work out which parts are specific to that function and which are primitives that belong in the platform, and land the primitives in Eddy so the next function gets them for free. Most quarters should end with a function measurably better off and a new capability in the platform.
Find the real bottleneck. Sit with a function long enough to see the work, and define success in their terms: turnaround time, escalation volume, error rate, headcount avoided.
Build the vertical. Skills, MCP integrations against their systems of record, subagents, scheduled and event-driven agents, artifact apps, and whatever product surface the workflow needs. You own it end to end.
Ship in days, harden over weeks. Get a rough v1 in front of real users fast, then do the unglamorous work of making it dependable.
Own it in production. Evals, tracing, cost and latency, failure modes. If a function depends on it, you're on the hook for it.
Extract the primitives. Land the generalizable half in Eddy as a first-class capability, with tests and docs.
Kill work that shouldn't exist. Some requests are better answered by a workaround, a config change, a process change, or nothing. Finding those is worth as much as building.
Design for PHI from the start. Eddy operates inside HIPAA.
This is not solutions or sales engineering. There's no deal cycle, and your users are colleagues. It's not a pure platform role either: you'll spend real time inside other teams' problems.
Languages: Python 3, TypeScript

Senior Applied AI Enginner, AI Platform

Responsibilities

Qualification

Required

Benefits

Company

Headway

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