Staff/Senior Full Stack Engineer, Abridge
Artificial Intelligence/ Machine Learning
$185-265k
Plus equity
More information about location
3+ days a week in office
Powering deeper understanding in healthcare through purpose-built AI
Open for applications
Powering deeper understanding in healthcare through purpose-built AI
101-200 employees
Open for applications
$185-265k
Plus equity
More information about location
3+ days a week in office
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 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
What the job involves
- 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
- 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
- We value people who want to learn new things, and we know that great team members might not perfectly match a job description
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
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 4 rounds)
Feb 2024
$150m
SERIES C
Oct 2023
$30m
SERIES B
Total funding: $207.5m
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 values
- The obstacle is the way
- Choose action
- Taste good things
- Help others win
- Honor humanity
Company HQ
Downtown, Pittsburgh, PA
Articles
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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