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Salary: USD 150,000 - 250,000 / annual
DeepScribe is building AI agents to automate and transform clinical workflows, with a mission to create an operating system for healthcare. The company has raised over $60 million from top-tier investors including Index Ventures, and serves major healthcare organizations like The US Oncology Network and Ochsner Health.
You will join as an AI Engineer with end-to-end ownership of LLM-powered healthcare applications. This is a deeply technical role blending ML, product thinking, and engineering. You'll develop and own production services that rely on LLMs, speech models, and medical reasoning.
Key responsibilities include:
- Develop and own end-to-end AI applications such as clinical trial matching, ambient copilots, and billing automation
- Improve the 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
You'll work in a fast-moving environment with direct customer contact, shipping features that genuinely reduce clinician burnout. The role offers flexibility to work across the stack (frontend, backend, etc.) to get features shipped, with emphasis on speed, ownership, and real user feedback.
REQUIREMENTS:
- 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 to get features shipped
- Obsessed with speed, ownership, and getting real user feedback
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
