About the role
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. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.
The Role We’re looking for Software Engineers to join our growing Product Engineering team! You’ll play a key role in helping us scale and mature our business by building and supporting new + existing web applications and their supporting backends. You’ll be writing code (mostly Typescript, and React), making architectural decisions, recommending technologies to adopt, and ensuring that our systems scale up reliably and securely. You will ship AI-powered features, and use AI tooling as a core part of how you build.
What You'll Do Design, build, and support the robust cloud-based services we need for our rapidly-growing business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization. You’ll have a say in the technology strategy — not just implementation details Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security Advocate for high standards; make quality-of-life improvements to the codebase; and help limit the growth of technical debt Build deep user empathy and maintain a user-centric mindset Communicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the company Mentor and learn from other engineers What You'll Bring 7+ years of experience building, shipping, and operating cloud-based distributed systems at scale - You’ve seen what works, and probably a few things that didn’t work. Your opinions are grounded in experience Experience as a lead engineer on a number of major components or subsystems of a software platform, or have been the lead for the platform itself AI tooling is part of your daily workflow — you use it to move faster, and you know when to trust it and when to verify. Confidence knowing your way around event pipelines and experience with tools such as Kinesis or Kafka Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUST Willingness to pitch in wherever needed -- as a fast-moving startup we need to do good work, quickly
