Job Description

**Type:** Senior Contractor ($75/hour with milestone-based pay bonuses,
contractor-to-hire)

### What MINE Is

MINE automates chronic care billing compliance for independent private
practices. We ingest clinical and patient data from multiple sources, process
it through an AI layer, and generate audit-ready billing documentation. We are
building V1.0 now and need an engineer who designs AI-native systems from the
ground up, not traditional software with AI bolted on afterward.

### What You Will Own

* Build the data integration layer: structured data pull from EHR systems and a patient-facing app into our core platform
* Build the device data pipeline: wearable and chronic care monitoring device data (glucose monitors, smart scales, blood pressure cuffs) ingested and normalized via a third-party aggregator API
* Build the AI documentation workflow: structured clinical data processed through an LLM layer, mapped to billing compliance criteria, surfacing correct billing categories with supporting documentation
* Build the document annotation workflow: source billing templates annotated with AI-processed patient data to produce clinician-ready outputs
* Operate within the HIPAA-compliant infrastructure established by our team

### What Success Looks Like

A fully operational documentation pipeline; from raw patient and device data
in - to a pre-filled, evidence-linked billing document out - that a clinician
can review, edit, and sign. Every output is traceable to source data. No
clinical claim passes to sign-off without a supporting evidence link.

### Technical Standards

Outputs must be audit-ready under post-payment review. PHI never touches logs
or non-PHI stores. Eligibility logic is deterministic, the LLM handles
narrative synthesis and data extraction only, never compliance decisions.
Clinician sign-off is required before any document is finalized; nothing auto-
submits.

### Required

* 3+ years full stack engineering experience
* Healthcare data experience: EHR integrations, billing workflows, or clinical documentation
* FHIR integration experience

### Preferred

* Production AI pipeline experience: structured input → LLM processing → structured output → downstream action
* Document processing experience: extraction, annotation, structured output generation
* Experience with device or wearables data pipelines
* Regulated data environment experience: healthcare preferred, fintech or legal acceptable

### Engagement

Hourly contract with performance incentives. 6-month initial scope with
milestone-based checkpoints. **Conversion to FTE with equity available for the
right candidate after initial probationary period.**