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Integration Engineer

Knowtex· Engineering
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Hybrid (San Francisco)Full-timePosted 5d ago

About the role

Knowtex is building the future of voice AI operating systems for clinicians. The Integration Engineer will own and scale healthcare system integrations, internalizing critical EMR integrations, reducing reliance on external vendors, and building scalable, secure interoperability across commercial and federal customers.

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

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

Skills

Required:Software EngineeringBackend DevelopmentAPI IntegrationAWSREST APIs / Authentication
Nice to have:Healthcare Data StandardsEMR/EHR SystemsFHIR / HL7

Benefits

  • Competitive salary
  • Meaningful equity compensation
  • Unlimited PTO
  • Premium health, dental, and vision coverage
  • 401(k) plan
  • Hybrid in-person (Monday, Tuesday, Wednesday in office in SF)
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Knowtex

Making doctors 2x more efficient with AI note-taking & charge capture

We’re on a mission to leverage AI and voice technology to solve inefficiencies and revenue leakage in our healthcare system. With the rise of EHRs, the manual documentation burden on doctors has never been higher, leading to burnout and fatigue and high attrition rates. Assigning the correct diagnosis and billing codes is crucial for proper reimbursement and patient care, but medical coding is becoming more and more complex each year with growing numbers of codes (over 145,000 now), and doctors are unsupported by current technology to keep up with its ever increasing requirements. $125 billion is left on the table each year by healthcare organizations due to improper documentation and coding. Knowtex creates visit notes with up-to-date and accurate reimbursement codes from doctor-patient conversations, allowing the doctor to focus on patient care and preventing revenue leakage for hospital systems through standardized, transparent, and accurate documentation.

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