1 day ago
Base Salary
$180k - $220k/yr
Responsibilities
- Maintain and expand Clinical Intelligence experiences including AI assistants, patient context, patient search, and trial and drug eligibility workflows.
- Build and scale client-side EHR-integrated features and complex audio-centric workflows.
- Develop accessible, intuitive, and performant web interfaces.
- Develop secure and performant APIs and supporting infrastructure for web and mobile applications.
- Collaborate with engineering, product, and customer delivery teams on bug fixes, improvements, and feature development.
- Participate in technical discussions, design reviews, and code reviews.
- Improve system reliability, observability, and performance.
- Investigate engineering escalations from customer-facing teams, including issues outside the usual area of responsibility.
Requirements
- 5+ years of experience building production web applications.
- Strong proficiency with TypeScript and experience building applications with React and Node.js.
- Experience designing and building RESTful APIs and working with relational and/or NoSQL databases.
- Understanding of distributed systems and scalability concepts.
- Strong debugging, communication, and problem-solving skills.
- Significant experience using agentic coding tools to aid in the software development lifecycle.
- Preferred: experience in healthcare technology or regulated environments.
- Preferred: experience building real-time or highly interactive web applications.
- Preferred: familiarity with AWS services including Lambda, ECS, S3, RDS, and DynamoDB.
Benefits
- Meaningful equity compensation, unlimited PTO, premium health, dental, and vision coverage, and a 401(k) plan.
- Full-time, individual contributor role based in San Francisco, with in-office work 3 days per week.
- Onboarding, clinical workflow and customer training, HIPAA and security/compliance training, implementation shadowing, site visits, and CTO mentorship.
About Knowtex
Knowtex builds an ambient voice AI platform that captures clinician‑patient conversations and generates pre‑filled clinical notes with coding suggestions, integrating into EHR workflows. It sells to health systems and federal healthcare organizations to cut documentation time and improve billing accuracy. Privately held and based in San Francisco, the company was founded by Stanford-trained AI scientists and focuses on integrations across specialties and large provider environments.