AI/ML Front End Engineer (Staff/Senior)

Abridge is a healthcare AI company founded in 2018 that transforms patient-clinician conversations into structured clinical notes in real-time, improving clinical documentation efficiencies.
$185,000 - $265,000
Frontend
Staff Software Engineer
Hybrid
5+ years of experience
AI · Healthcare
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Description For AI/ML Front End Engineer (Staff/Senior)

Abridge, founded in 2018, is revolutionizing healthcare with its AI-powered platform that transforms patient-clinician conversations into structured clinical notes in real-time. As pioneers in generative AI for healthcare, Abridge is setting industry standards for responsible AI deployment across health systems.

We are seeking Staff and Senior Full Stack Engineers to join our growing team. You'll be instrumental in building internal UI products to support LLM Model orchestration, evaluation, and dataset curation. Working closely with our Applied AI and product teams, you'll help create innovative ML-powered solutions that push the boundaries of Healthcare AI technology.

Key responsibilities include:

  • Designing and building scalable, cloud-based services using TypeScript, Python, and React
  • Creating tooling for ML model lifecycle support
  • Developing LLM model orchestration infrastructure with an intuitive user experience
  • Making critical architecture and technology decisions
  • Enhancing platform performance and scalability
  • Cross-functional collaboration with product, machine learning, and design teams
  • Researching and implementing effective and scalable solutions
  • Advocating for best practices and mentoring junior engineers
  • Building user empathy and maintaining a user-centric mindset
  • Contributing to ML infrastructure development

We're looking for candidates with:

  • 5+ years of experience in building and scaling distributed systems
  • Hands-on experience with LLMs, APIs, and modern technologies
  • Proficiency in cloud services, infrastructure as code, and containerization
  • Leadership experience in engineering teams
  • Background in optimizing AI-based systems (desirable)
  • Experience in regulated environments (plus)

At Abridge, you'll be part of a mission-driven organization that values diversity, continuous learning, and work-life balance. We offer competitive compensation, generous benefits, and the opportunity to make a significant impact in the healthcare industry through AI innovation.

Join us in our journey to bring understanding and follow-through to every medical conversation!

Last updated 2 months ago

Responsibilities For AI/ML Front End Engineer (Staff/Senior)

  • Design, build, and maintain highly scalable, cloud-based services
  • Create tooling to support the ML model lifecycle
  • Build scalable infrastructure for LLM model orchestration
  • Make architecture and technology decisions
  • Enhance platform's performance and scalability
  • Work cross-functionally with other teams
  • Research and evaluate commercial and open-source tools
  • Advocate for best coding practices and mentor junior engineers
  • Build deep empathy for users
  • Contribute to the development and expansion of ML infrastructure

Requirements For AI/ML Front End Engineer (Staff/Senior)

TypeScript
Python
React
Node.js
  • 5+ years of experience building and scaling distributed systems
  • Experience with TypeScript, Python, React, and Node.js
  • Hands-on experience integrating and working with Large Language Models (LLMs) and APIs
  • Proficiency in cloud services (AWS, GCP), infrastructure as code (Terraform), and containerization (Docker, Kubernetes)
  • Experience leading engineering teams or owning major software components
  • Background in optimizing and scaling inference systems for LLMs (desirable)
  • Experience working in regulated environments (HIPAA, SOC 2, or HITRUST) is a plus

Benefits For AI/ML Front End Engineer (Staff/Senior)

Medical Insurance
Dental Insurance
Vision Insurance
Equity
Parental Leave
  • Unlimited PTO
  • 13 paid holidays
  • Comprehensive benefits package
  • $3,000 annual learning and development budget
  • 16 weeks paid parental leave
  • Flexible working hours
  • Equity for all new employees
  • $1600 equipment budget for home office setup

Interested in this job?