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San Francisco, California, United States
Hybrid
Knowtex.ai
Senior Software Engineer (Android)
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
COMPENSATION
$120,000 – $180,000 base salary, commensurate with experience, plus equity and comprehensive benefits
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 native mobile engineer to build and scale the Android experience for Knowtex’s AI-driven clinical documentation platform. You will work closely with our existing mobile engineer, Platform Engineering, and customer-facing teams to deliver reliable, intuitive, and performant mobile experiences 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
Own and expand the Knowtex Android application experience
Build and maintain core mobile workflows including recording, authentication, patient selection, note review, and other emerging clinical workflows
Support the rollout and continued expansion of Knowtex mobile applications within the Department of Veterans Affairs
Drive feature parity and a consistent product experience across Android, iOS, and web where appropriate
Develop reliable mobile experiences that interact with real-time audio, background processes, APIs, and native device capabilities
Improve mobile application reliability, observability, performance, security, and release quality
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 across mobile and web
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
5+ years of experience building and shipping production mobile applications
Significant experience developing native applications for Android in Kotlin
Strong understanding of Android platform capabilities, application lifecycle, and mobile development patterns
Experience integrating mobile applications with backend APIs and authentication systems
Experience debugging complex mobile application issues across devices and operating system versions
Understanding of mobile application security, performance, and reliability
Strong 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 deploying mobile applications in enterprise environments
Familiarity with AWS services such as Lambda, ECS, S3, RDS, and DynamoDB
Technical Environment
Native Android (Kotlin) and iOS (Swift) mobile applications
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
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.
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.
