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Commure

Software Engineer, Scribe AI

Mountain View, CA$130k–$180kfulltimemidAdded today

About this role

Commure is seeking a Full Stack Engineer to develop features for an AI-powered medical scribe platform that generates clinical notes using LLMs. You'll build responsive web and iOS applications, scale audio processing infrastructure, and work directly with healthcare customers to deliver products that reduce administrative burden in healthcare.

What you'll do

  • Develop and scale AI medical scribe features using LLM models for accurate clinical documentation
  • Build polished user interfaces for web (React/Next.js) and iOS (Swift/React Native) applications
  • Design and maintain robust infrastructure for audio processing, cloud services, and EHR integrations
  • Lead projects from concept to production in a fast-paced environment with daily deployments
  • Gather customer feedback directly and translate it into rapid product improvements
  • Collaborate with product, design, and external stakeholders on feature development

What they're looking for

  • Python backend development
  • JavaScript/TypeScript with React and Next.js
  • Node.js/Express server-side development
  • iOS development (Swift and/or React Native)
  • Full-stack web and mobile development
  • Audio processing and cloud infrastructure
  • EHR system integrations
  • Ability to work in fast-paced, customer-facing environments
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Commure

Commure builds AI-powered healthcare solutions that automate clinical documentation, billing workflows, and claims processing for healthcare organizations and their clinicians. The company is hiring full-stack engineers, R&D specialists, forward-deployed engineers, and backend developers to scale LLM-based systems and real-time automation tools across its platform serving 500+ healthcare organizations.

Website
commure.com
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Likely interview questions

  • Describe your experience building features across both web and mobile platforms—how do you approach design decisions differently for each?
  • Tell us about a time you worked directly with end-users to gather feedback and shipped a product improvement quickly. What was your process?
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