AI Clinical Documentation Engineer

Description

You'll build the AI layer that cuts charting burden — ambient capture, clinical NLP, specialty-aware note generation and FHIR write-back, designed so the clinician always signs off.

Requirements

• 4+ years in ML/NLP or applied AI engineering
• Experience taking models to production, not just notebooks
• Strong Python and modern LLM tooling
• Healthy skepticism about accuracy and safety in clinical contexts

Nice to have

• Clinical NLP, ASR or medical coding experience
• FHIR familiarity
• Evaluation / guardrail design for generative systems

Responsibilities

• Build capture, NLP and note-generation pipelines
• Design human-in-the-loop review and FHIR write-back
• Own evaluation, accuracy and safety guardrails

What we offer

• Healthcare-only work — every project ships into a real care setting
• Competitive compensation tied to skill, not seniority theatre
• Fully remote, with flexible hours aligned to your timezone
• Certification support — HIPAA, SOC 2, cloud and clinical credentials on us
• A senior bench to learn from, and the autonomy to own your work
• Conferences, internal workshops and a real learning budget