AI Software Engineer, Abridge

Evaluation Platform

$192.5-268k

+ Equity

React

TypeScript

Python

Node.js

Mid and Senior level

San Francisco Bay Area

Powering deeper understanding in healthcare through purpose-built AI

Be an early applicant

Powering deeper understanding in healthcare through purpose-built AI

101-200 employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningSaaSMedTech

Be an early applicant

$192.5-268k

+ Equity

React

TypeScript

Python

Node.js

Mid and Senior level

San Francisco Bay Area

101-200 employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningSaaSMedTech

Company mission

To power a deeper understanding in healthcare.

Job

Company

Role

Who you are

Strong experience in full-stack software development, with the ability to work across the full-stack necessary to build scientific research platforms or production tools
3+ years of experience building and scaling distributed systems using modern technologies like TypeScript, Python, React, and Node.js
Self-motivated with a willingness to take ownership
Strong communication skills and ability to work collaboratively in a team environment

Desirable

Hands-on experience integrating and working with Large Language Models (LLMs) and APIs, with familiarity with prompt engineering

What the job involves

Our generative AI-powered products are making a huge impact in the Healthcare industry. As a full stack engineer you will be partnering with AI engineers to build out platforms for Agentic Orchestration, Model Evaluation, Data Insights and Dataset Curation to supercharge AI development. If you value working on greenfield projects and a high level of ownership, this is the right role for you
Building new 0-1 full-stack platform for building, debugging and evaluating LLM outputs
Design intuitive front-end interfaces for evaluating AI systems and products
Collaborate with researchers, engineers, product and design to build and deliver full-stack solutions
Enhance our platform’s performance and scalability, with a focus on creating seamless user experiences

Our take

Summarizing key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.

This is where Abridge comes in, it has developed a HIPAA-compliant AI platform that transcribes, structures, summarizes, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.

Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.9)

Company

Funding (last 2 of 6 rounds)

May 2025

$300m

SERIES E

Feb 2025

$250m

SERIES D

Total funding: $757.5m

Company benefits

Unlimited PTO, plus 12 national holidays
16 weeks paid parental leave, for all 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

Company HQ

Downtown, Pittsburgh, PA

Leadership

Shivdev Rao

(CEO)

Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.

Sandeep Konam

(CTO)

Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.

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