Healthcare AI Engineer (LLM, Remote)

DeepScribe

Northern (KY)

Hybrid

USD 150,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Meaningful equity
Flexible PTO
Work from home stipend
Medical, Dental, Vision, 401K

Job summary

DeepScribe is seeking an AI Engineer to build and ship LLM-powered healthcare applications. You’ll own new AI workflows from prototype to production, ship fast, talk directly to customers, and build systems that genuinely reduce clinician burnout.

This deeply technical role blends ML, product thinking, and engineering. You’ll create production services that rely on LLMs, speech models, and medical reasoning, collaborating with PMs, designers, and clinicians to 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 and ability to ship customer-facing features
  • Comfortable working across the stack (frontend, backend) to get features shipped
  • Obsessed with speed, ownership, and getting real user feedback

Responsibilities

  • Develop and own end-to-end AI applications, such as clinical trial matching and ambient copilots.
  • Improve our LLM-powered documentation platform used by clinicians daily.
  • Build and optimize inference pipelines and real-time speech recognition systems.
  • Collaborate with PMs, designers, clinical experts, and GTM teams to launch high-impact features

Skills

Production AI
LLM Inference
Product sense
Full-stack
Speed & Ownership

Tools

OpenAI
Anthropic
Llama

Job description

DeepScribe is seeking an AI Engineer to build and ship LLM-powered healthcare applications. You’ll own new AI workflows from prototype to production, ship fast, talk directly to customers, and build systems that genuinely reduce clinician burnout.

This deeply technical role blends ML, product thinking, and engineering. You’ll create production services that rely on LLMs, speech models, and medical reasoning, collaborating with PMs, designers, and clinicians to launch high-impact features.

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