Knowtex
Making doctors 2x more efficient with AI note-taking & charge capture
Integration Engineer
About the role
About Knowtex
Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we are experiencing rapid growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling to thousands of clinicians across hundreds of specialties.
We are at an inflection point where advances in AI can fundamentally change how clinicians interact with technology, giving them more time to focus on what matters most: their patients.
Position Overview
Knowtex is seeking an Integration Engineer to own and scale our healthcare system integrations.
This role will focus on internalizing critical EMR integrations, reducing reliance on external vendors, and building scalable, secure, and reliable system-to-system interoperability across commercial and federal customers.
You will be responsible for designing, implementing, and maintaining integrations with EMR/EHR platforms, working across modern API-based systems as well as legacy workflows.
This is a high-impact role with direct visibility into production healthcare environments and strategic importance as integrations become a core competency at Knowtex.
Key Responsibilities
- Design, build, and maintain integrations with EMR/EHR platforms across API-based and legacy systems
- Internalize and replace third-party integration dependencies where appropriate
- Develop scalable, secure, and reliable healthcare data pipelines
- Build data validation, transformation, and normalization layers across heterogeneous healthcare systems
- Monitor integration health, troubleshoot production issues, and implement observability best practices
- Collaborate with product, clinical, and AI teams to translate workflow requirements into technical integration designs
- Contribute to long-term integration architecture strategy as Knowtex expands across specialties and health systems
Required Qualifications
- 5+ years of software engineering experience, ideally in healthcare
- Experience integrating with third-party APIs and external systems
- Strong backend development experience with Python, Node.js, or similar technologies
- Experience working with AWS services
- Solid understanding of REST APIs, authentication flows, and distributed systems
- Experience working with structured healthcare data
Preferred Qualifications
- Experience integrating with EMR/EHR systems
- Familiarity with healthcare interoperability standards such as FHIR and HL7
- Experience designing idempotent, fault-tolerant integration workflows
- Familiarity with HIPAA-compliant environments
Technical Environment
- AWS
- Python and Node.js / TypeScript
- React frontend for internal tools and integration dashboards
- Event-driven and asynchronous processing architectures
Compensation & Benefits
- Competitive Compensation
- Meaningful equity compensation
- Unlimited PTO
- Premium health, dental, and vision coverage
- 401(k) plan
- Work model: Hybrid In-person (Monday, Tuesday, Wednesday in office in SF)
About Knowtex
Knowtex is building the clinical AI infrastructure layer for intelligent care— turning the burden of manual workflows like notes, coding, order entry into a seamless background process, and providing real-time decision support so clinicians can focus on what matters: delivering superior patient care.
We are nationally deployed across the largest U.S. health system, the U.S. Department of Veterans Affairs, and we work with health systems, specialty practices, and ambulatory groups who are done waiting for EHR vendors to solve AI.
