Senior Software Engineer, Android

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

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 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

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.

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.