Key skills
PythonAIMachine LearningMLNLPLLMOpenAIHugging FaceLangChainLangGraphAnalyticsFastAPIFlaskAWSKubernetesAgilePrototypingCommunication
About this role
Fabric Health is focused on solving healthcare's biggest challenge: clinical capacity. They are seeking a Senior Engineer with AI expertise to lead the development of advanced language and voice technologies that transform how patients and providers interact.
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
- 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
Requirements:
- 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
- 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
- A bachelor's degree in a related field is preferred, but not required
- Experience with conversational agents, or real-time voice communication (e.g., WebRTC, telephony), ASR, TTS, or voice assistants
- Prior work on multimodal AI interfaces or agent-based dialogue systems
- Experience hosting, scaling, and fine-tuning open-source models
- A passionate interest in improving healthcare access and outcomes through applied AI