Software Engineer, Billing Agents
$130k - $190k • Remote • Mountain View, CA • FullTime
Posted 3mo ago
About the job
Commure is building the AI Operating System for healthcare, transforming how care is delivered, documented, and financed. Our platform integrates Ambient AI, intelligent Agents, and autonomous RCM processing to address the industry's significant administrative burden. We are at the forefront of this transformation, trusted by numerous healthcare organizations nationwide. Our team works directly with clinicians, ensuring immediate impact and a fast-paced, ownership-driven environment. We are seeking a Software Engineer II to join our Air Billing team, focusing on high-traffic practice management surfaces like claims, appointments, and payments posting. This role involves rebuilding and enhancing these critical workflows, incorporating AI where it most effectively drives productivity. You will own end-to-end features, see them deployed daily, and contribute to the team's technical direction.
Responsibilities
- Own features end-to-end on claims, appointments, and payments-posting surfaces, from design through production rollout.
- Write production-ready code with tests and observability, designing clean interfaces and data models.
- Partner with product, design, and billing operations to solve biller workflow problems.
- Build reliability and observability into features, including dashboards, logging, and alerting.
- Review code and designs for correctness, performance, and user experience.
- Help set technical standards and direction for the team as it scales, including component patterns, API conventions, and testing practices.
- Assist in onboarding and leveling up teammates.
Requirements
- 3+ years building full-stack applications with a track record of shipping features end-to-end in production.
- Solid frontend skills for building clean, maintainable UIs and diagnosing rendering issues.
- API and data-layer fundamentals, including building backend endpoints for sizable datasets.
- Sound technical judgment for feature-level work, evaluating tradeoffs and escalating risks.
- Good debugging and observability instincts, comfortable with monitoring, logging, and alerting.
- Clear communication skills, keeping teammates and partners informed.
- Ownership mindset and bias for action, taking responsibility for features with urgency.