AI Engineer

Neara; San Francisco (CA); Hybrid; USD 150,000 - 250,000; Full time

Benefits offered by this job

Meaningful equity stake in the company

Flexible PTO

Work from home stipend

Job summary

A healthcare technology company is seeking an AI Engineer in San Francisco, California, to develop AI applications that transform clinical workflows. The role involves building end-to-end applications and optimizing LLM systems. An ideal candidate will have over 3 years in production AI, with expertise in LLM inference. This full-time position offers a salary of $150,000 to $250,000 plus equity, with hybrid work flexibility.

Qualifications

• 3+ years building production AI systems, ideally in fast-moving environments.
• Extensive experience with LLM inference (e.g., OpenAI, Anthropic, Llama).
• Comfortable working across the stack to get features shipped.

Responsibilities

• Develop and own end-to-end AI applications like clinical trial matching.
• Improve LLM-powered documentation platform for thousands of clinicians.
• Build and optimize inference pipelines and real-time speech recognition systems.

Skills

Building production AI systems

LLM inference knowledge

Working across stack (frontend, backend)

Strong product sense

Job description

Job type: Full Time · Department: AI/ML · Work type: Hybrid · USD 150000 -250000 / year

About DeepScribe

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).

About the Role

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

About You

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

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

Perks and benefits

$150,000 to $250,000 annual salary

Meaningful equity stake in the company

Flexible PTO

Work from home stipend

About the Team

At DeepScribe, we value trust, teamwork, and transparency, and we’re dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required eligibility verification form upon hire.

We’re excited to connect with people who feel inspired by our mission to transform medical documentation with AI. As part of your application, we ask you to briefly tell us why you want to work at DeepScribe. Applications without a thoughtful response may not be considered.

How to use AI during our hiring process

When applying: create the first draft of your resume yourself, but it’s OK to use AI to help you polish it

While preparing: use AI to research DeepScribe, practice your answers, or prepare questions for us

During take-home assignments: feel free to use AI to help you complete your work, but be prepared to explain and take responsibility for anything that you deliver

During live interviews: no AI assistance of any kind unless we indicate otherwise. We want to see how you think, approach problems, and work through challenges in real time.