Commure
Software Engineer, AI Integrations
About this role
Commure seeks a Fullstack Software Engineer to design and implement healthcare data integrations between their AI-native platform and 40+ Electronic Medical Records systems. You'll work on HL7-based data flows, leverage LLM technology for EHR automation, and ensure compliance with healthcare standards while delivering high-impact solutions that directly improve patient care delivery.
What you'll do
- Design and build integration solutions between the platform and third-party healthcare systems (EHRs, insurance providers) with focus on performance and reliability
- Use LLM technology to automate reverse-engineering of electronic health records and improve integration efficiency
- Collaborate with product, engineering, and healthcare teams to define integration requirements and prioritize work based on business needs
- Own end-to-end integration workflows from design through deployment and post-launch monitoring in production
- Ensure all integrations meet healthcare compliance standards (HIPAA, HL7, FHIR) and work with security teams on data protection
- Identify performance bottlenecks, resolve integration issues, and implement monitoring systems for production reliability
What they're looking for
- Frontend development (JavaScript, HTML, CSS)
- Backend development (Python, Go, or C++)
- Cloud platforms (GCP or AWS)
- Healthcare data standards (HL7, FHIR, HIPAA)
- Docker and Kubernetes containerization
- Relational and non-relational databases
- Git version control
- Monitoring and alerting tools
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Commure
Commure builds AI-powered healthcare solutions that automate clinical documentation, billing workflows, and claims processing for healthcare organizations and their clinicians. The company is hiring full-stack engineers, R&D specialists, forward-deployed engineers, and backend developers to scale LLM-based systems and real-time automation tools across its platform serving 500+ healthcare organizations.
- Website
- commure.com
Likely interview questions
- Walk us through a complex end-to-end integration you've designed and deployed—what were the key architectural decisions?
- How have you approached reverse-engineering or understanding unfamiliar third-party systems in past projects?