Type: Senior Contractor ($75-100/hr, contract-to-hire)

MINE automates chronic care billing compliance for outpatient primary care. 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 compliance engineer

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
• Production AI pipeline experience: structured input → LLM processing → structured output → downstream action
• 6-month contract availability with milestone-based delivery

Preferred

• Healthcare data experience: EHR integrations, billing workflows, or clinical documentation
• FHIR integration experience
• 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. If there is a long-term fit, we would be glad to have you join us as an FTE founding engineer.