About Fabric HealthAt 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.
Responsibilities
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 RoleWe 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 DoAs a Senior Engineer, AI, you will be instrumental in bringing advanced AI concepts from prototype to production. Your primary responsibilities will include:
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Your Qualifications
A bachelor's degree in a related field is preferred, but not required.
5+ years of experience in software engineering or applied machine learning, with a strong focus on building real-world AI/ML systems.
Proficiency in backend development using Python (Flask or FastAPI), and 3+ years of hands-on experience with LLMs and LLM agents.
Core Competencies:
Solid understanding of embeddings and embedding databases.
Experience in NLP or speech processing technologies.
Familiarity with modern AI/ML frameworks and tools (e.g., Hugging Face, OpenAI API, LangChain, LangGraph).
Experience building and deploying cloud-native applications on AWS with Kubernetes and container tools.
Demonstrated ability to bring models from research to production, solving for latency, scale, and reliability.
Effective communication skills and the ability to work across disciplines in a fast-paced, agile environment.
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. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time._Learn more about Fabric
_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.
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