Integration Engineer

Knowtex Inc
San Francisco, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Application Integration Architecture Data Validation Distributed Systems Fault Tolerance Interoperability Python (Programming Language) Node.Js Systems Development Life Cycle Software Engineering Systems Integration
+13 more
TypeScript EHR Systems ReactJS Fast Healthcare Interoperability Resources Electronic Medical Records Backend Health Level Seven International Integration Frameworks Front End Software Development Api Design Restful APIs Legacy Systems Web Api

Job description

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., * 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

Requirements

System Integration (SI), Healthcare, Clinical Medicine, Documentation, Operating Systems, Artificial Intelligence (AI), Voice Applications, System Integration (SI), Electronic Medical Records, Scalable System Development, * 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, * 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

Benefits & conditions

  • Competitive salary
  • 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 the company

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.

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