Senior Software Engineer, Artificial Intelligence

Senior Software Engineer, Artificial Intelligence

About Fabric Health

At Fabric Health, we're not just building technology; we're fixing healthcare's capacity problem. Our mission is to power healthcare to move faster, work smarter, and deliver better care, creating seamless, intuitive experiences that simplify and unify virtual and in-person care for thousands of providers and millions of patients nationwide. We're a team of brilliant, thoughtful minds, deeply motivated by improving patient and provider lives, and we believe technology can truly enhance the US healthcare system.

Trusted by leading healthcare organizations : Our customers include Luminis Health, OSF HealthCare, MUSC Health, and Intermountain.

We are backed by leading investors such as Thrive Capital, GV (Google Ventures), General Catalyst, Salesforce Ventures, Vast Ventures, BoxGroup, and Atento Capital. We value working quickly for good reason, listening deeply to solve big challenges, and building products like we would for loved ones.

About The Role

We are looking for a Senior Engineer with AI expertise to lead the development of advanced language and voice technologies that transform how patients and providers interact. In this role, you will drive Fabric's work in large language model (LLM) applications—such as retrieval-augmented generation (RAG), classification, and fine-tuning—as well as speech, natural language processing (NLP), and machine learning (ML). This is a hands-on, high-impact position at the intersection of innovation and production engineering. You will work cross-functionally to build intelligent, responsive dialogue systems and infrastructure for Fabric's conversational AI experiences across voice and digital channels.

What You'll Do

As a Senior Engineer, AI, you will be instrumental in bringing advanced AI concepts from prototype to production. Your primary responsibilities will include :

• Designing, building, and optimizing LLM applications (e.g., RAG, classification, summarization).
• Prototyping and productionizing ML and AI features in Python, integrating them with backend services.
• Partnering with product and medical teams to develop appropriate safeguards and business constraints for AI outputs.
• Collaborating with engineering to develop APIs for LLM applications used by other product components.
• Creating automated evaluations to measure the accuracy and performance of LLM-powered systems.
• Maintaining and improving existing NLP and AI diagnosis production components.
• Developing analytics to monitor system performance and prioritize improvements.
• Deploying AI services end-to-end in cloud-native environments using AWS and Kubernetes.
• Staying on the cutting edge by researching and testing new AI tools, APIs, and architectures.
• Contributing to our conversational AI strategy and helping shape the future of healthcare AI.

Why You Might Be a Good Fit

This Might Not Be The Right Fit If...

Your Qualifications

Solid understanding of embeddings and embedding databases.

Bonus Points

The national pay range for this role is $150,000.00 - $190,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses.

At Fabric, we believe that a diverse workforce is essential to our success. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected characteristic. We actively encourage individuals from all backgrounds to apply.

J-18808-Ljbffr