AI Engineer

DeepScribe Inc.
United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$150,000.0 - $250,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Cloud Computing Code Review Cyber Security Node.Js Software Technical Review TypeScript Management of Software Versions Speech Recognition Fast Healthcare Interoperability Resources Large Language Models Backend
+5 more
Gitlab Vue.js Health Level Seven International Front End Software Development Data Pipelines

Job 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. 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, * 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 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., Build and deploy end-to-end AI solutions embedded within business teams. Identify high-value problems, rapidly prototype agentic applications, integrate AI with business workflows, and measure business impact. Partner with principal engineers and platform teams on architecture, drive stakeholder adoption, communicate across technical and business audiences, and mentor earlier-career builders. The role requires hands-on full-stack prototyping, API integration, production deployment, and ownership from discovery through adoption.

Requirements

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

Benefits & conditions

Reposted 15 Hours Ago Remote Hiring Remotely in United States 150K-250K Annually Mid level Remote Hiring Remotely in United States 150K-250K Annually Mid level The AI Engineer will develop LLM-powered healthcare applications, improve documentation platforms, build inference pipelines, and collaborate with teams to launch features, all aimed at reducing clinician burnout. The summary above was generated by AI About DeepScribe, $150,000 to $250,000 annual salary. Actual compensation will be determined based on factors including but not limited to experience, education, skill level, location, and internal equity, and may vary from the posted range.

Meaningful equity stake in the company

Flexible PTO

Work from home stipend

Medical, Dental, Vision, 401K About the Team, In-Office or Remote US 166K-269K Annually Expert/Leader 166K-269K Annually Expert/Leader Consumer Web * eCommerce * Machine Learning * Software * Sports * Analytics Own an AI portfolio across a business domain, identify and prioritize opportunities, and personally build production agentic solutions end to end. Establish reusable patterns, evaluations, human-in-the-loop controls, and measurable business outcomes. Partner with functional leaders, earn stakeholder trust, guide platform choices, and improve team capability through mentoring, design and code reviews, and interviewing. Build reliable, secure, scalable applications around AI systems across frontend and backend layers. Top Skills: Ai AgentsBackend SystemsClaudeFrontend ApisOpenaiOrchestration Platforms, Collectors, United States Easy Apply 115K-194K Annually Entry level 115K-194K Annually Entry level Cloud * Security * Software * Cybersecurity * Automation Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support. Top Skills: Composition ApiEcmascript Modules (Esm)MonoreposNode.jsTypescriptVue 3

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

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)., 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

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