Senior Fullstack Engineer, Ambient AI

About the Role

We’re building a next-generation ambient AI platform for healthcare, helping clinicians focus on patient care by automatically capturing, understanding, and structuring clinical conversations in real time.

Our product supports clinicians across the full care workflow, from capturing patient conversations and reviewing AI-generated documentation to coordinating follow-up actions and completing work across mobile and web.

We’re hiring a Full-Stack Product Engineer to build these experiences from end to end. You’ll work across our mobile and web applications, backend services, APIs, and AI-powered workflows, partnering closely with product, design, clinical, and AI teams.

Our mobile application is primarily built in Flutter, alongside web applications, browser-based surfaces, and backend services. Flutter experience is helpful but not required.

What You’ll Do

• Build and own high-impact product experiences from early exploration through launch, measurement, and iteration.
• Develop new workflows for AI-native healthcare software, including:

- Real-time transcription and ambient documentation
- AI-assisted review, editing, and clinical workflows
- Multimodal inputs and intelligent recommendations
- Agentic actions that help clinicians complete work
- Collaborative and cross-device workflows
- Offline and low-connectivity experiences

• Work across mobile, web, backend services, and APIs to deliver cohesive end-to-end experiences.
• Partner closely with clinicians, product managers, and designers to understand real-world problems and translate them into simple, thoughtful products.
• Collaborate with AI engineers to bring model capabilities into production in ways that are responsive, understandable, and trustworthy.
• Design data models, APIs, and service boundaries that support fast product iteration and reliable user experiences.
• Build polished interfaces across our Flutter mobile application and web-based surfaces.
• Own the quality of what you ship, including usability, performance, accessibility, analytics, testing, observability, and release readiness.
• Improve shared systems and product foundations including reusable components, state management, networking, background processing, APIs, and observability.
• Prototype quickly, learn from real usage, and refine experiences using qualitative and quantitative feedback.
• Help shape product and technical strategy as the Ambient AI product line grows.
• Mentor other engineers and raise the bar for engineering quality, product thinking, and craft across the team.

What You Have

• 4+ years of professional software development experience, with significant ownership of user-facing products or features.
• Strong experience building applications across multiple parts of the stack, such as mobile or web clients, backend services, APIs, databases, and cloud infrastructure.
• A track record of taking ambiguous product ideas through technical design, implementation, launch, and iteration.
• Strong product judgment and attention to interaction quality, usability, performance, and craft.
• Experience building polished frontend experiences using a modern mobile or web framework.
• Experience designing and operating backend services, APIs, and data models in production.
• Comfort moving through the stack to solve the most important product or user problem.
• Strong understanding of software architecture, testing, observability, reliability, and maintainability.
• Experience collaborating closely with product, design, backend, data, or AI teams.
• An understanding that reliability, latency, and data integrity are fundamental parts of the user experience.
• An ownership mindset and bias for action.

Nice to Haves

• Experience building AI-native, conversational, agentic, or real-time product experiences.
• Experience with Flutter and Dart or another cross-platform mobile framework.
• Experience building modern web applications with JavaScript or TypeScript.
• Experience integrating large language models, transcription systems, or other machine-learning services into production products.
• Experience with audio or video capture, streaming, transcription, or long-running media workflows.
• Experience with offline-first applications, background sync, resilient local persistence, or conflict handling.
• Experience designing event-driven systems, asynchronous workflows, or real-time data pipelines.
• Familiarity with product analytics, experimentation, and measuring feature adoption or usability.
• Experience with performance optimization, observability, CI/CD, and release automation.
• Native iOS or Android experience when platform-specific capabilities are needed.
• Exposure to healthcare, HIPAA, SOC 2, privacy, security, or other regulated environments.
• Experience with Chrome extensions or workflows that span mobile, browser, and web applications.