Senior Full Stack Engineer - LLM Tooling

Join Our Team as a Senior Full Stack Engineer

Abridge is on a mission to revolutionize healthcare through AI-powered solutions. We are seeking a talented and experienced Senior Full Stack Engineer to join our Machine Learning Engineering team. In this role, you will be instrumental in building full stack tooling and infrastructure to support LLM Model orchestration, evaluation, training, and dataset curation. You will collaborate closely with our Applied AI and product teams to develop innovative ML-powered solutions that advance the state of the art in Healthcare AI technology.

Key Responsibilities

• Design and Develop: Create and maintain highly scalable, cloud-based services using TypeScript, Python, and React.
• Tooling and Infrastructure: Develop tools to support the ML model lifecycle, including model evaluations, dataset curation, and training infrastructure.
• Scalable Infrastructure: Build scalable infrastructure for LLM model orchestration with a focus on user experience.
• Architecture Decisions: Make informed architecture and technology decisions that align with business needs, balancing innovation with security and reliability.
• Cross-Functional Collaboration: Work with product, machine learning, and design teams to ensure the success of new features from conception to deployment.
• Research and Evaluation: Investigate commercial and open-source tools to implement effective and scalable solutions.
• Mentorship: Advocate for best coding practices, mentor junior engineers, and promote technical excellence across the team.
• User-Centric Approach: Build deep empathy for users, maintaining a user-centric mindset when implementing solutions.

What You'll Bring

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

Why Work at Abridge?

• Mission-Driven: Be part of a trailblazing organization that is transforming healthcare through AI.
• Flexible Work Environment: Enjoy unlimited PTO, flexible working hours, and a remote work environment.
• Comprehensive Benefits: Access a generous benefits package, including 16 weeks of paid parental leave and a generous equipment budget.
• Growth Opportunities: Work and grow with talented individuals, and have ownership and impact at a high-growth startup.

Life at Abridge

At Abridge, we prioritize understanding and follow-through in every medical conversation. Our culture is built on doing things differently, focusing on patients, outcomes, and user experience. We are a diverse team of engineers, scientists, designers, and health policy experts committed to transforming the healthcare industry.

Diversity & Inclusion

Abridge is an equal opportunity employer. We actively welcome applicants from all backgrounds, including but not limited to race, gender, educational background, and sexual orientation.

Protect Yourself from Recruitment Fraud

Be aware of fraudulent individuals and entities misrepresenting themselves as Abridge recruiters. Abridge will never ask for financial information or payment during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. Please exercise caution and cease communications if something feels suspicious.

Join us in our mission to power deeper understanding in healthcare through AI. Apply today!