You will lead the development of production-ready AI agents and multi-modal LLM workflows to transform data extraction in a $1T healthcare market. By building robust evaluation pipelines and fine-tuning SOTA models, you will solve complex document intelligence challenges and bridge the gap between legacy systems and modern AI infrastructure.
Senior AI Engineer at well-funded healthtech AI startup
Are you ready to deploy SOTA multi-modal LLMs into a $1T market? We are looking for a Senior AI Engineer to join a well-funded healthtech startup in San Francisco. You will build production-ready AI agents, design sophisticated evaluation pipelines, and solve document intelligence challenges that bridge the gap between legacy systems and modern AI. This is a unique opportunity to work on high-impact infrastructure at an AI-native company backed by top-tier VCs, where your engineering decisions will directly shape the future of healthcare data automation.
About this role
Role overview
About the company
About the company
Well-funded healthtech AI startup
What you'll do
What you will do
- Design and deploy AI agents to extract and structure data from legacy healthcare systems.
- Build and maintain rigorous evaluation pipelines to ensure model performance and reliability.
- Fine-tune large language models and optimize embedding strategies for specialized domain knowledge.
Who you are
Who this is a fit for
- Proven experience building and scaling production-grade AI/ML infrastructure and applications.
- Strong expertise in LLM fine-tuning, RAG architectures, and multi-modal model evaluation.
- Deep understanding of Python and modern AI frameworks with a focus on engineering excellence.
Why this role
Why this role is remarkable
- Deploy SOTA multi-modal LLMs and embeddings directly into production environments to solve massive real-world data problems.
- Join a well-funded team backed by top-tier VCs in the high-impact healthcare sector.
- Shape the technical foundation of an AI-native platform focused on complex document intelligence and automation.
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