
Compensation
$180,000-$220,000/yrDescription
Knowtex.ai
Senior Software Engineer, Web
LOCATION
San Francisco, CA (in office 3 days a week)
EMPLOYMENT
Full-time, individual contributor
WORK AUTHORIZATION
Must be authorized to work in the U.S.; we are unable to sponsor visas for this role
About Knowtex.ai
Knowtex is the first frontier AI lab for healthcare that is building AI to save human lives. We built an AI system that executes the most complex workflows in medicine and empowers clinicians with clinical intelligence capabilities, so every patient can receive the best care possible.
Position Overview
We are seeking a frontend-leaning engineer to help build and scale Clinical Intelligence capabilities in our user-facing web application. You will work closely with Platform Engineering and customer-facing teams to build accessible, intuitive, and performant user experiences that support real-time AI workflows across enterprise healthcare environments.
This role is ideal for an engineer who has experience operating on small, high-impact teams with significant ownership and autonomy, including end-to-end execution on critical product features.
Key Responsibilities
Maintain and expand core Clinical Intelligence experiences, including AI assistants, patient context, patient search, trial and drug eligibility, and other emerging workflows
Build and scale client-side EHR-integrated features
Maintain complex audio-centric workflows
Develop accessible, intuitive, and performant user interfaces
Develop secure and performant APIs and supporting infrastructure for web and mobile applications
Collaborate closely with engineering, product, and customer delivery teams to prioritize bug fixes, improvements, and new feature development
Participate meaningfully in technical discussions, design reviews, and code reviews
Improve system reliability, observability, and performance
Handle engineering escalations from customer-facing teams, including investigating issues outside of your typical areas of responsibility
Required Qualifications
3+ years of experience building production web applications
Strong proficiency in TypeScript
Experience building applications with React and Node.js
Experience designing and building RESTful APIs
Experience 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 SDLC
Preferred Qualifications
Experience in healthcare technology or regulated environments
Experience building real-time or highly interactive web applications
Familiarity with AWS services such as Lambda, ECS, S3, RDS, and DynamoDB
Technical Environment
React, TypeScript, Node.js, and Python (Lambda)
AWS cloud infrastructure (including GovCloud environments)
AI-enabled application platforms
CI/CD pipelines and containerized services
Observability and analytics tools (Amplitude, Sentry)
Compensation & Benefits
Meaningful equity compensation
Unlimited PTO
Premium health, dental, and vision coverage
401(k) plan
Why Knowtex?
Mission that matters
Our product sits inside real-time clinical care. Every workflow you improve gives a clinician time back and makes a patient's documentation safer and more complete.
Already at scale
You'll ship to a deployment spanning hundreds of VA sites and tens of thousands of clinicians, plus a growing commercial base — with impact backed by peer-reviewed research.
Outsized scope
As one of only two TPMs, you'll own product and metrics end to end, with direct access to the founders and no layers between you and the decision.
AI-native ways of working
We're a frontier AI lab for healthcare, and we work like one: AI tooling is part of how you prototype, analyze, and ship every day.
Growth and training
Onboarding on our product, clinical documentation workflows, and customer base; HIPAA and security/compliance training (plus VA/federal training where relevant); shadowing implementations and site visits; and direct mentorship from the CTO.
Knowtex is an equal opportunity employer committed to building a diverse team that reflects the clinicians and patients we serve.
Stack
- Posted
- Oct 30, 2026
- Last seen
- Oct 30, 2026
- First seen
- Oct 30, 2026


