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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

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.

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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