Senior Software Engineer, Air AI

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.” Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role 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. What You'll Do 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 fullstack 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 Be part of a fast-moving team that celebrates large ambition, ships daily, and makes decisions quickly What You Have 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 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 Track record of driving work from early ideation to successful production deployment Strong debugging and problem-solving skills with a history of demonstrated resourcefulness 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 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. #J-18808-Ljbffr Socket