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).
About the RoleWe 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.
What you’ll doDevelop 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
We’re looking for exceptional, top-tier talent to join our team.
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
This is a remote position, although Bay Area residents are encouraged to work from our SF office.
Nice to HavesExperience 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
$150,000 to $250,000 annual salary
Meaningful equity stake in the company
Flexible PTO
Work from home stipend
Medical, Dental, Vision, 401K
About the TeamAt DeepScribe, we value trust, teamwork, and transparency, and we’re dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required eligibility verification form upon hire.
We’re excited to connect with people who feel inspired by our mission to transform medical documentation with AI. As part of your application, we ask you to briefly tell us why you want to work at DeepScribe. Applications without a thoughtful response may not be considered.
How to use AI during our hiring process
When applying: create the first draft of your resume yourself, but it’s OK to use AI to help you polish it
While preparing: use AI to research DeepScribe, practice your answers, or prepare questions for us
During live interviews: no AI assistance of any kind unless we indicate otherwise. We want to see how you think, approach problems, and work through challenges in real time.
Skills Required
- 3+ years building production AI systems
- Extensive experience with LLM inference
- Strong product sense
- Comfortable working across the stack (frontend, backend, etc)
What We Do
DeepScribe is an AI-powered medical scribe that captures patient encounters in real time and automates medical documentation, allowing physicians to focus on patient care instead of note-taking. Through an enterprise-grade secure iOS app downloaded on the providers preferred device, our technology is able to listen to a patient conversation and produce a highly accurate transcription of the encounter. Next, our AI solution extracts the medically relevant information, classifies it into a standard SOAP note, and then integrates that note directly into the EHR's discrete fields. With DeepScribe, providers can focus on delivering engaged patient care untethered from the EHR. Simply talk to a patient like normal, review your notes in your EHR at the end of the day, and sign-off.
