AI Engineer at DeepScribe

About the role

What will you do at DeepScribe?

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. What you’ll do 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 Suggested Expereince 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 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

Which skills does this role require?

PythonTypeScriptLLM tooling (LangGraphMastraAgents SDK)LLM Evals + Applied GenAIMachine LearningLLMsPrototyping

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