DeepScribe

Role Description We’re looking for an exceptional Product Engineer who would thrive in a fast-paced, rapidly scaling startup environment. You will build the backbone of AI-powered workflows that saves doctors hours of documentation time, enabling them to focus on patient care. You’ll write code across the stack to get the job done. - Contribute to the design and implementation of our real-time LLM-powered platform, delivering core features that will shape the future of our product. - Build and enhance key pieces of the user journey such as onboarding, note customization, and in-the-moment insights. - Collaborate across functions (product, design, clinical subject matter experts, sales/go-to-market, etc) to ensure we’re building and launching best-in-class products. - Learn and grow alongside experienced engineers while implementing best practices for building robust, scalable code for AI-first applications. Qualifications - You enjoy solving problems and writing code using languages like Python and/or Typescript/React. - You’re comfortable working across the stack and are eager to learn whatever you need to ship the right product. - You love working directly with end-users and are excited about working with doctors first-hand. - You move really, really fast while keeping the quality bar high. - You are curious and are excited by the challenge of applying LLMs to novel problems in healthcare. - You care deeply about your teammates and contribute to a collaborative, team-oriented culture. Requirements - Experience in healthcare, integrating with EHR systems, or familiarity with clinical documentation. - Experience working with sensitive data and familiarity with SOC-2/HIPAA. - Experience with building and deploying mobile applications. - Experience managing and deploying code in AWS architecture. Benefits - $100,000 to $185,000 annual salary. - Meaningful equity stake in the company. - Flexible PTO. - Work from home stipend. - Medical, Dental, Vision, 401K and other benefits are also offered.

Role Description We are looking for an AI Engineer to build and ship LLM-powered healthcare applications. You’ll have ownership over new AI workflows, from prototype to production. Expect to ship fast, talk directly to customers, and build systems that genuinely reduce clinician burnout. This is a deeply technical role that blends ML, product thinking, and engineering. You'll build and own production services that rely on LLMs, speech models, and medical reasoning. - Develop and own end-to-end AI applications, such as clinical trial matching, ambient copilots, billing automation, and more. - Improve our LLM-powered documentation platform, used daily by thousands of clinicians. - Build and optimize inference pipelines and real-time speech recognition systems. - Collaborate closely with PMs, designers, clinical experts, and GTM teams to iterate rapidly and launch high-impact features. Qualifications - 3+ years building production AI systems, ideally in fast-moving environments or as a founder. - Extensive experience with LLM inference (e.g., OpenAI, Anthropic, Llama, etc.). - Strong product sense. - Comfortable working across the stack (frontend, backend, etc.) to get features shipped. - Obsessed with speed, ownership, and getting real user feedback. Requirements This is a remote position, although Bay Area residents are encouraged to work from our SF office. Nice to Haves - Experience with ASR systems (e.g. Whisper). - Experience with EHR integrations (FHIR, HL7) or healthcare-specific ontologies. - Familiarity with SOC-2, HIPAA, or sensitive data pipelines. Benefits - $150,000 to $250,000 annual salary. - Meaningful equity stake in the company. - Flexible PTO. - Work from home stipend. - Medical, Dental, Vision, 401K. Company Description DeepScribe is building AI agents to automate and transform clinical workflows. Our mission goes beyond note-taking - we’re building the operating system for healthcare. From clinical trial matching to billing and ambient documentation, we’re embedding AI directly into the workflows of the most overburdened professionals in the world. We’ve raised over $60 million in total funding from top-tier investors, including Index Ventures and prominent angels such as Alexandr Wang (fmr CEO of Scale AI) and Dylan Field (CEO of Figma). Our solutions are trusted by some of the largest healthcare organizations in the country, including The US Oncology Network (the nation’s largest oncology network) and Ochsner Health (the largest healthcare system on the Gulf Coast).