Machinify · Remote - US
Skills: Python
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
The Role --------
We're building production-grade agentic systems that audit medical claims end-to-end — reading raw medical records, reasoning over coding and clinical guidelines, and producing defensible findings that hold up to clinical and regulatory review. Reaching human-expert accuracy on noisy, long-context documents is one of the hardest unsolved problems in applied AI, and the field is moving weekly.
We're hiring a Staff (L6) AI Engineer to set the technical direction for these systems. You'll own the architecture of our audit agents from the first design decision to production, decide how we measure whether they're right, and make the engineers around you faster and better. This is a hands-on role: you'll write much of the hardest code yourself while leading the design work several engineers build on.
What You'll Do --------------
Own the agent architecture. Decide the loop, the tools, the context strategy and the evaluation harness for our claim-audit agents. Choose between single-agent and multi-agent topologies, between LLM reasoning and deterministic post-passes, between retrieval and direct context loading — and defend each choice with data. Set the evaluation strategy. Define, with our clinical and coding experts, what expert-level accuracy means in measurable terms. Build the eval infrastructure the team ships against, diagnose where systems fail, fix the…
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