Senior Software Engineer, Artificial Intelligence

Senior Software Engineer, Artificial Intelligence

Join to apply for the Senior Software Engineer, Artificial Intelligence role at Fabric

At Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity. We’re here to fix it, unifying the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2‑10x more efficient. Our technology empowers clinicians to move faster and focus on what matters most: the patient.

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. 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.

• Design, build, and optimize LLM applications (e.g., RAG, classification, summarization).
• Prototyping and product ionizing ML and AI features in Python, integrating them with backend services.
• Partner with product and medical teams to develop appropriate safeguards and business constraints for AI outputs.
• Collaborate 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.

• You care deeply about the mission: deploying technology that empowers patients to engage with healthcare in their preferred language and format.
• You're an autonomous problem solver: breaking down complex problems in AI with ownership.
• You're a leader in your field: staying current on machine learning, foundation models, and algorithms related to text and text‑to‑speech technologies.
• You're committed to robust and responsible AI: building testing and monitoring pipelines and safeguards.
• You thrive on collaboration: working cross‑functionally to integrate AI use cases into products.
• You are a clear communicator: articulating complex ideas to both technical and non‑technical audiences.

• You prefer a role focused purely on research rather than hands‑on, production‑level engineering.
• You are not comfortable with ambiguity and fast‑paced development of cutting‑edge AI systems.
• You prefer working in a silo rather than collaborating closely with product, medical, and engineering teams.
• You are not passionate about applying AI to solve real‑world problems in healthcare.

• A bachelor's degree in a related field is preferred, but not required.
• 5+ years of experience in software engineering or applied machine learning, focusing on 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, Lang Chain, Lang Graph).
• 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.

• Experience with conversational agents, real‑time voice communication (WebRTC, telephony), ASR, TTS, or voice assistants.
• Prior work on multimodal AI…