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Commure is building an AI Operating System for healthcare, providing a unified platform that spans ambient AI documentation, intelligent workflow automation, and autonomous revenue cycle management (RCM). The company serves 500+ healthcare organizations, processes $25B+ in annual claims, and has recently raised $70M at a $7B valuation.
The AI Integration Team is responsible for ensuring seamless data flow between Commure's platform and 40+ Electronic Medical Records (EMRs) via HL7 and FHIR standards. You will design and implement complex integration solutions that enable interoperability across healthcare systems while maintaining HIPAA compliance and data security.
In this role, you will:
- Design and implement end-to-end integration solutions between Commure's platform and third-party healthcare systems (EHRs, insurance providers), ensuring high performance, reliability, and scalability
- Leverage LLM technology to automate reverse-engineering of electronic health records
- Collaborate with product, engineering, and healthcare teams to gather requirements and define technical approaches
- Own integration workflows from design through deployment and production monitoring
- Identify and resolve performance bottlenecks and troubleshoot integration issues in production
- Ensure all work adheres to healthcare compliance standards (HIPAA, HL7, FHIR) and partner with security teams
- Drive implementation of best practices including testing, error handling, version control, and CI/CD
- Work with DevOps and QA to implement monitoring and alerting systems
- Stay current with healthcare technology trends and integration patterns
- Participate in agile development cycles and sprint planning
The team moves fast, deploys daily, and works directly alongside clinicians. You'll see immediate impact on patient care and healthcare delivery efficiency.
REQUIREMENTS:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent extensive experience
- 2+ years of professional software development experience
- Proficiency in frontend languages: JavaScript, HTML, CSS
- Proficiency in backend languages: Python, Go, or C++
- Experience with Git, GCP/AWS, Docker, Kubernetes, relational and non-relational databases, and monitoring/alerting tools
- Proven track record designing and implementing end-to-end solutions with successful architectural decisions
- Excellent communication and collaboration skills in fast-paced environments
