Software Engineer, Air AI Provider
Role details
Job location
Tech stack
Job description
At Commure, our Air AI team is building the intelligence layer that lives inside the clinical workflow, that listens, documents, reasons, and acts so clinicians don't have to. You'll work across 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 that automates clinical tasks across the platform. If you want to build AI that clinicians trust with their most critical work, this is that team., * Leverage and build on top of AI/LLM technologies to accelerate product development and deliver intelligent, automated experiences to clinicians and patients
- Design, implement, and maintain fullstack systems for scalable, AI-powered healthcare solutions
- Lead or contribute to technical planning for new features, balancing feasibility, clinical usability, and business impact
- Collaborate with product managers, designers, and clinical experts to ship intuitive solutions that work in real clinical environments
- Be part of a fast-moving team that celebrates large ambition, ships daily, and makes decisions quickly, Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, required
- 2+ years of professional software engineering experience
- Strong Fullstack skills - Python on the backend (required), TypeScript/React on the frontend, with working knowledge of containers and cloud (Docker, Kubernetes)
- Hands-on experience integrating LLM APIs or building AI-powered features in production
- Strong communication skills - comfortable working with both engineers and non-technical stakeholders including clinical teams
- Experience in fast-moving environments where shipping quickly is the norm
Benefits & conditions
Compensation Range: $130K - $170K