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Salary: USD 150,000 - 250,000 / annual
DeepScribe is building AI agents to automate and transform clinical workflows, serving as an operating system for healthcare. The company has raised over $60M from top-tier investors including Index Ventures and angels like Alexandr Wang (former CEO of Scale AI) and Dylan Field (CEO of Figma). Their solutions are trusted by major healthcare organizations including The US Oncology Network and Ochsner Health.
As an AI Engineer, you will build and ship LLM-powered healthcare applications with ownership from prototype to production. This is a deeply technical role blending ML, product thinking, and engineering. You'll develop end-to-end AI applications such as clinical trial matching, ambient copilots, and billing automation. You'll improve the LLM-powered documentation platform used daily by thousands of clinicians, build and optimize inference pipelines and real-time speech recognition systems, and collaborate closely with PMs, designers, clinical experts, and GTM teams to iterate rapidly and launch high-impact features.
You should have 3+ years building production AI systems, ideally in fast-moving environments or as a founder. Extensive experience with LLM inference (OpenAI, Anthropic, Llama, etc.) is required. You need strong product sense, comfort working across the stack (frontend, backend, etc.) to ship features, and obsession with speed, ownership, and real user feedback. Nice-to-haves include experience with ASR systems (e.g., Whisper), EHR integrations (FHIR, HL7) or healthcare-specific ontologies, and familiarity with SOC-2, HIPAA, or sensitive data pipelines.
This is a remote position, though Bay Area residents are encouraged to work from the SF office. The role offers meaningful equity, flexible PTO, work-from-home stipend, and comprehensive benefits.
