---
title: 'Integration Engineer at Knowtex'
canonical: 'https://feeny.ai/job/integration-engineer-knowtex-san-francisco-cfh0y7dv8grn'
type: 'job'
last_seen: '2026-09-11'
---

# Integration Engineer at Knowtex

- **Company:** Knowtex
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/knowtex/1fcb49c6-b959-44d3-9c06-1c03fead25c9

## Job description

## 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 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 Knowtex

## Company Overview
- **One-liner**: Knowtex provides an ambient clinical AI platform that automates documentation, coding, and workflow tasks by analyzing doctor-patient conversations in real time.
- **Entity Type**: Private (startup; Y Combinator Summer 2022 batch)
- **Headquarters**: San Francisco, CA, USA
- **Founded**: 2022
- **Founders**: Caroline Zhang (CEO) and Jocelyn Kang (CTO)

## Core Business
- Primary industry: Healthcare AI / Ambient Clinical Intelligence
- Target customers: Enterprise health systems, federal agencies (e.g., U.S. Department of Veterans Affairs), and large medical practices (B2B, enterprise, government)
- Mission: Leverage AI and voice technology to solve inefficiencies and revenue leakage in healthcare, freeing clinicians from documentation burden so they can focus on patient care.

## Products & Services
- **Knowtex Ambient Clinical AI Platform**: A HIPAA-compliant, EHR-agnostic platform that listens to doctor-patient conversations and automatically generates accurate clinical notes, ICD-10/E&M codes, orders, and other documentation. Tailored to over 200 medical specialties. Includes an admin dashboard for operational oversight, performance monitoring, and AI governance.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total funding not disclosed; notable backing includes Y Combinator, Amazon Web Services, UCSF Rosenman Institute, and MedTech Innovators. In 2024, awarded a $15 million contract with the U.S. Department of Veterans Affairs.
- **Notable Investors/Partners**: Y Combinator, Amazon Web Services, UCSF Rosenman Institute, MedTech Innovators, 4D EMR (partnership)
- **Growth Signals**: 
  - Selected by the U.S. Department of Veterans Affairs (VA) for deployment across the nation’s largest integrated health system (170 medical centers, 1,193 outpatient clinics). [knowtex.ai](https://www.knowtex.ai/resources/knowtex-selected-by-u-s-department-of-veterans-affairs-to-deploy-ambient-clinical-ai)
  - Platform has automated over 100 million workflows, supports 1,000+ clinicians, and covers 200+ specialties.
  - Reports 90% decrease in administrative manual work and 10% increase in ROI from improved code capture and billing error prevention. [knowtex.ai](https://www.knowtex.ai/)
  - Achieved SOC 2 Type I, ISO 27001, and HIPAA compliance; features explainable/transparent AI.

## Competitive Advantages
- **Specialty-specific, EHR-agnostic**: Models are tailored to individual medical specialties and integrate with any electronic health record system, avoiding a one-size-fits-all approach.
- **Enterprise & Federal Readiness**: Compliance with HIPAA, SOC 2, ISO 27001, GDPR; built for scale with strong PHI protection and audited security.
- **Transparent, Explainable AI**: Platform provides structured benchmarking, continuous monitoring, and evaluation standards, making AI decisions measurable and trustworthy for clinicians.
- **VA Partnership**: A top-3 winner of the VA’s 2024 AI Tech Sprint for Ambient Scribe and a $15M contract validates the solution at federal scale.

## Strategic Focus
- Scaling the platform across the VA health system (national rollout starting October 2025) and expanding federal partnerships.
- Deepening specialty-specific model performance (200+ specialties) and expanding into new clinical domains.
- Building an integrated AI infrastructure that unifies automation, oversight, and intelligence for health systems.
- Advancing transparent AI evaluation to increase clinician trust and adoption.

## Why Work Here
- **Culture**: According to the careers page, the team values curiosity, ownership, and thoughtful collaboration. Employees work alongside clinicians, engineers, and researchers tackling complex healthcare challenges. [knowtex.ai/careers](https://www.knowtex.ai/careers)
- **Impact**: Directly improve how care is delivered by reducing clinician burnout and administrative burden. Technology is used by the VA and large health systems.
- **Location**: Headquarters in San Francisco, CA. Hybrid/remote policy not explicitly stated, but roles listed on Ashby include San Francisco as location.
- **Team**: Women-founded (Caroline Zhang, Jocelyn Kang) by Stanford AI scientists, with backgrounds in biomedical research, investment banking, and prior startups.
- **Perks**: Not explicitly listed, but as an early-stage YC company, employees likely get significant ownership and growth opportunities.

## Sources
1. [knowtex.ai](https://www.knowtex.ai/)
2. [knowtex.ai/careers](https://www.knowtex.ai/careers)
3. [ycombinator.com/companies/knowtex](https://www.ycombinator.com/companies/knowtex)
4. [knowtex.ai/resources/knowtex-selected-by-u-s-department-of-veterans-affairs-to-deploy-ambient-clinical-ai](https://www.knowtex.ai/resources/knowtex-selected-by-u-s-department-of-veterans-affairs-to-deploy-ambient-clinical-ai)
5. [linkedin.com/company/knowtexai](https://www.linkedin.com/company/knowtexai)

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