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Commure is building an AI Operating System for healthcare that spans the full care journey: Ambient AI and dictation eliminating documentation burden, intelligent agents automating patient and revenue workflows, and autonomous RCM processing billions in claims. The company serves 500,000+ clinicians across 500+ healthcare organizations, handling $25B+ in annual claims and supporting over 200 million patient interactions. Recently raised $70M at a $7B valuation and named to Fortune Future 50 and 2026 AI Breakthrough Awards for "Overall NLP Company of the Year."
The Air AI team is building the intelligence layer that lives inside the clinical workflow—listening, documenting, reasoning, and acting so clinicians don't have to. You'll work across three core areas: documentation that transcribes patient visits and structures them into clinical notes in real-time, a conversational clinical assistant grounded in live patient context and medical literature, and an extensible AI Skills Library of reusable agents and workflows automating clinical tasks.
In this role, you will leverage and build on top of AI/LLM technologies to accelerate product development and deliver intelligent, automated experiences to clinicians and patients. You'll design and influence decisions that shape the fullstack architecture for scalable, AI-powered healthcare solutions. You'll lead or contribute to technical planning for new features, balancing feasibility, clinical usability, and business impact. You'll establish best practices for code quality, testing, deployment, and observability, and mentor engineers across the team to raise the bar on design patterns and technical thinking. You'll collaborate with product managers, designers, and clinical experts to ship intuitive solutions that work in real clinical environments, operating as part of a fast-moving team that celebrates large ambition, ships daily, and makes decisions quickly.
REQUIREMENTS:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (required)
- Professional software engineering experience, ideally in high-growth or startup environment
- Strong fullstack skills: Python on backend (required), TypeScript/React on frontend, working knowledge of containers and cloud (Docker, Kubernetes)
- Hands-on experience integrating LLM APIs or building AI-powered features in production
- Track record of driving work from early ideation to successful production deployment
- Strong debugging and problem-solving skills with demonstrated resourcefulness
- Strong communication skills, comfortable working with engineers and non-technical stakeholders including clinical teams
- Experience in fast-moving environments where shipping quickly is the norm
