Senior Software Engineer, Air AI

About the role

The Air AI team at Commure is building the intelligence layer that lives inside the clinical workflow. This includes transcribing patient visits into clinical notes in real-time, creating a conversational clinical assistant grounded in live patient context and medical literature, and developing an extensible AI Skills Library of reusable agents and workflows that automate clinical tasks.

Responsibilities

• Leverage and build on top of AI/LLM technologies to accelerate product development and deliver intelligent, automated experiences to clinicians and patients
• Design and influence decisions that shape our full-stack architecture for scalable, AI-powered healthcare solutions
• Lead or contribute to technical planning for new features, balancing feasibility, clinical usability, and business impact
• Establish best practices for code quality, testing, deployment, and observability
• Mentor engineers across the team, raising the bar on design patterns, code standards, and technical thinking
• Collaborate with product managers, designers, and clinical experts to ship intuitive solutions that work in real clinical environments
• Participate in 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 a related field, required
• Professional software engineering experience, ideally in a high-growth or startup environment
• Strong full-stack 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
• Track record of driving work from early ideation to successful production deployment
• Strong debugging and problem-solving skills with a history of demonstrated resourcefulness
• 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

Qualifications

• Experience in fast-moving environments where shipping quickly is the norm

Skills

• Full-stack skills — Python on the backend, TypeScript/React on the frontend, with working knowledge of containers and cloud (Docker, Kubernetes)
• Experience integrating LLM APIs or building AI-powered features in production
• Strong debugging and problem-solving skills with a history of demonstrated resourcefulness
• Communication skills — comfortable working with both engineers and non-technical stakeholders including clinical teams

Benefits

• Commute-friendly location
• Flexible work schedule
• Competitive compensation range: $170K - $230K
• Health insurance coverage
• Retirement savings plan

Pay

• $170K - $230K

Schedule

• Full-time