Senior Full Stack Engineer, LLM APIs

About Abridge

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

The Role

We are seeking Staff and Senior Full Stack Engineers to join our growing team! You’ll help us build internal UI products to support LLM Model orchestration, evaluation, and dataset curation. You will work closely with our Applied AI and product teams to build innovative ML-powered solutions to push the state of the art in Healthcare AI technology.

What You'll Do

• Design, build, and maintain highly scalable, cloud-based services using TypeScript, Python, and React.
• Create tooling to support the ML model lifecycle including model evaluations, dataset curation, and training infrastructure.
• Build scalable infrastructure for LLM model orchestration powered by an intuitive and easy-to-use user experience.
• Make architecture and technology decisions that align with business needs, balancing innovation with security and reliability.
• Enhance our platform’s performance and scalability, with a focus on creating seamless user experiences.
• Work cross-functionally with teams like product, machine learning, and design to ensure the success of new features from conception to deployment.
• Research and evaluate commercial and open-source tools to implement the most effective and scalable solutions.
• Advocate for best coding practices, mentor junior engineers, and ensure the growth of technical excellence across the team.
• Build deep empathy for users, maintaining a user-centric mindset when implementing solutions.
• Contribute to the development and expansion of our ML infrastructure, ensuring smooth interaction between the product and ML models.

What You'll Bring

• 5+ years of experience building and scaling distributed systems using modern technologies like TypeScript, Python, React, and Node.js.
• Hands-on experience integrating and working with Large Language Models (LLMs) and APIs, with familiarity in fine-tuning and prompt engineering.
• Proficiency in working with cloud services (AWS, GCP), infrastructure as code (Terraform), and containerization (Docker, Kubernetes).
• Proven experience leading engineering teams or owning major software components from development to production.
• A background in optimizing and scaling inference systems for LLMs or similar AI-based systems is highly desirable.
• Experience working in regulated environments (HIPAA, SOC 2, or HITRUST) is a plus.
• A passion for learning new technologies and sharing knowledge within your team.

Why Work at Abridge?

• Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI.
• Unlimited PTO for salaried team members, plus 13 paid holidays.
• Comprehensive and generous benefits package.
• Learning and Development budget of $3,000 per year for coaching, courses, workshops, conferences, etc.
• 16 weeks paid parental leave, for all full-time employees.
• Flexible working hours — we care more about what you accomplish than what specific hours you’re working.
• Remote work environment.
• Equity for all new employees.
• Generous equipment budget for your home office setup ($1600).
• Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup.

Life at Abridge

At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.

Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).