Commure — the AI Operating System for healthcare, named to the Fortune Future 50 list and winner of the 2026 AI Breakthrough Award for Overall NLP Company of the Year — is hiring a talented Software Engineer, AI Integrations in Mountain View, California. With a $7B valuation, $70M recently raised, and 500,000+ clinicians across 500+ healthcare organizations trusting the platform daily, this is a rare opportunity to build the future of healthcare AI — at a company where what you ship tomorrow is in the hands of care providers by next week, earning $130,000 – $190,000.
About Commure — AI Operating System for Healthcare
Company: Commure — building the AI Operating System that defines how care is delivered, documented, and financed
Platform: Ambient AI, Dictation, intelligent Agents, autonomous RCM — all on a single AI-native platform integrated with 60+ EHRs
Valuation: $7 billion — reflecting massive market confidence in the healthcare AI transformation mission
Scale: $25B+ in annual claims processed; 200 million+ patient interactions supported across 500+ healthcare organizations
Recognition: Fortune Future 50 and 2026 AI Breakthrough Award — “Overall NLP Company of the Year”
Career Growth & Engineering Impact in Silicon Valley
Immediate Impact: The gap between what you build and its effect on patient care is measured in days — not quarters
Deploy Daily: Fast-moving engineering culture with daily deployments and full end-to-end ownership from idea to production
LLM Frontier: Work with the latest Large Language Model technology to automate reverse-engineering of complex EHR systems
$1T Problem: Healthcare carries a $1 trillion administrative burden — and Commure is at the center of solving it
Position Overview
The Software Engineer, AI Integrations at Commure in Mountain View is a full-time engineering role at the heart of the company’s AI Integration Team — the group responsible for ensuring seamless data flow between Commure’s platform and over 40 Electronic Medical Records (EMR/EHR) systems. You will design and implement complex integration solutions between Commure’s platform and third-party healthcare systems, leverage the latest LLM technology to automate the reverse-engineering of EHR data, ensure interoperability through HL7 and FHIR standards, take end-to-end ownership from design through deployment and monitoring, and contribute to the technical direction of the integration platform that processes $25 billion in annual healthcare claims.
Why This Role Matters: As a Software Engineer in AI Integrations at Commure, you will directly shape how 500,000+ clinicians access and exchange healthcare data daily, apply cutting-edge LLM technology to solve one of healthcare’s most complex interoperability challenges, build high-performance integrations across 60+ EHR systems that support over 200 million patient interactions, earn $130K–$190K at a Fortune Future 50 company in the heart of Silicon Valley, and contribute to eliminating the $1 trillion administrative burden that slows healthcare delivery across the United States.
Key Responsibilities
EHR Integration Design & Implementation
- Design and implement complex, high-performance integration solutions between Commure’s platform and third-party healthcare systems including EHRs and insurance providers
- Ensure all integrations deliver high reliability, scalability, and performance across Commure’s network of 60+ integrated EHR and EMR systems
- Take full end-to-end ownership of integration workflows — from design and development through deployment, post-launch monitoring, and continuous optimization
- Identify and resolve performance bottlenecks, troubleshoot complex integration issues, and proactively improve production reliability across all active integrations
LLM Technology & Healthcare AI Innovation
- Leverage the latest developments in Large Language Model (LLM) technology to automate the reverse-engineering of complex electronic health records
- Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and emerging technologies
- Stay current with industry trends in healthcare technology, integration patterns, and new AI tools — continuously applying innovations that improve system capabilities
- Collaborate with cross-functional teams spanning product, engineering, and healthcare to define technical integration approaches and prioritize based on business impact
Compliance, Security & Healthcare Standards
- Ensure all integration work fully adheres to healthcare compliance and data security standards including HIPAA, HL7, and FHIR at all stages of development
- Collaborate with dedicated security teams to protect sensitive patient and healthcare provider data across all integrations and data exchange workflows
- Drive best practices for integration development covering testing, error handling, version control, and continuous integration across the AI integration team
- Collaborate with DevOps and QA teams to implement robust monitoring and alerting systems that ensure integration reliability and system health in production
Agile Development & Team Collaboration
- Participate actively in agile development cycles including sprint planning, retrospectives, and day-to-day engineering collaboration within a fast-moving team
- Move fast, deploy daily, and take full ownership from early-stage thinking through production — Commure’s engineering culture demands and rewards this approach
- Contribute your ideas and expertise to shape the technical direction of the AI integration platform and the broader Commure engineering organization
Qualifications & Requirements
Educational Background
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field — or equivalent extensive professional software development experience
Experience & Technical Requirements
- 2+ years of professional software development experience in a production environment — with a clear track record of end-to-end ownership and delivery
- Proficiency in frontend languages including JavaScript, HTML, and CSS for building responsive and functional integration interfaces
- Proficiency in backend languages — Python, Go, or C++ — for building high-performance, scalable integration services and APIs
- Hands-on experience with Git, GCP and/or AWS cloud platforms, Docker, Kubernetes, and both relational and non-relational database systems
- Experience with monitoring and alerting tools for production system health visibility and rapid incident response
- Proven track record of designing and implementing successful end-to-end solutions with sound architectural decision-making
Core Skills & Attributes
- Excellent communication and collaboration skills — able to work effectively across engineering, product, and healthcare stakeholder teams in a fast-paced environment
- Energized by hard problems, high stakes, and a high-bar team culture where ownership and impact are expected from day one
- Strong ability to self-direct, move quickly, and deliver without waiting for perfect information or extensive process overhead
About Commure — Building the AI Operating System for Healthcare
Commure is building the AI Operating System for healthcare — the foundational platform that defines how care is delivered, documented, and financed across the United States. Their platform spans the full care journey: Ambient AI and Dictation eliminate documentation burden at the point of care, intelligent Agents automate patient and revenue workflows, and autonomous Revenue Cycle Management (RCM) processes billions in claims — all on a single AI-native platform integrated with more than 60 EHRs. With a $7 billion valuation, $70 million recently raised, recognition on the Fortune Future 50 list, and the 2026 AI Breakthrough Award for Overall NLP Company of the Year, Commure is not just participating in the future of healthcare — they are actively building it, one integration at a time.
Security Note: All official communication from Commure comes exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with the organization.
Who Should Apply?
- Fullstack AI Engineers: With 2+ years of experience in Python/Go backend and JavaScript frontend development in production environments
- Healthcare Technology Engineers: Familiar with EHR integrations, HL7, FHIR standards, and HIPAA compliance requirements
- Cloud-Native Engineers: With GCP or AWS, Docker, Kubernetes, and CI/CD pipeline experience in fast-moving startup environments
- LLM & NLP Enthusiasts: Excited to apply the latest AI language model technology to complex real-world healthcare data challenges
- High-Ownership Engineers: Who want to move fast, deploy daily, and see their work directly improve how clinicians and patients experience healthcare
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