Fabric Health is looking to solve healthcare's capacity problem by powering 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.
Requirements
- Proficiency in backend development using Python (Flask or FastAPI), and 3+ years of hands-on experience with LLMs and LLM agents.
- 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.
Responsibilities
- 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.
Other
- 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.
- Applicants must be currently authorized to work in the United States without the need for current or future visa sponsorship.
- You care deeply about the mission: You are passionate about deploying technology that empowers patients to engage with healthcare in their preferred language and format.
- You're a clear communicator: You're skilled at communicating complex ideas clearly to both technical and non-technical audiences.
