Integration Engineer

Knowtex•San Francisco, CA

6h•Hybrid

About The Position

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. 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.

Requirements

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

Nice To Haves

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

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