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About the Role
We are looking for an Applied AI Engineer to join the team building HCAF (Healthcare AI Fabric), an AI-native patient access platform that automates scheduling, switchboard, refills, and patient communications for health systems running on EHR. We are building agentic systems that replicate real clinical and operational workflows at scale, and we are hiring engineers who have done this kind of work before.
You will model the patient-access domain as a graph and build the production retrieval that grounds HCAF's agents — the difference between an agent that guesses and one that knows.
What You'll Do
- Model the patient-access domain as a graph — EHR decision trees, scheduling rules, and provider/specialty/visit-type taxonomies — as the knowledge layer agents reason over.
- Build and own production RAG: ingest EHR Clarity exports and configuration, design indexing and hybrid/graph retrieval, and ground agent responses with citations.
- Make r...
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