Large Language Model Engineer - AI & Human Health Research
Mount Sinai Health System • New York, NY • Posted July 08, 2026
About the Role
**Job Description**
We are seeking a skilled LLM Engineer I to join our team in the SinAI Assurance Lab. The LLM Engineer will play a key role in designing, building, and deploying large language model (LLM) applications including retrieval-augmented generation (RAG) systems, agentic platforms, and clinical chatbots and will be responsible for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS) are rigorously validated for compliance, performance, and patient safety.
You will work closely with AI product teams, clinical and technical stakeholders, DevOps engineers, and the AI Governance Committee to engineer scalable data flows that support model validation, real-time monitoring, and Machine Learning Engineer I will be primarily responsible for contributing to the development and enhancement of machine learning applicati...
We are seeking a skilled LLM Engineer I to join our team in the SinAI Assurance Lab. The LLM Engineer will play a key role in designing, building, and deploying large language model (LLM) applications including retrieval-augmented generation (RAG) systems, agentic platforms, and clinical chatbots and will be responsible for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS) are rigorously validated for compliance, performance, and patient safety.
You will work closely with AI product teams, clinical and technical stakeholders, DevOps engineers, and the AI Governance Committee to engineer scalable data flows that support model validation, real-time monitoring, and Machine Learning Engineer I will be primarily responsible for contributing to the development and enhancement of machine learning applicati...