[Hiring] AI Engineer @DeepScribe

Role Description

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.

• 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.

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.
• Comfortable working across the stack (frontend, backend, etc.) to get features shipped.
• Obsessed with speed, ownership, and getting real user feedback.

Requirements

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.

Benefits

• $150,000 to $250,000 annual salary.
• Meaningful equity stake in the company.
• Flexible PTO.
• Work from home stipend.
• Medical, Dental, Vision, 401K.

Company Description

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).