Healthcare AI Engineer: LLMs, Production ML & Impact

Citizen Health

San Francisco (CA)

Hybrid

USD 150,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Competitive salary + equity package
Comprehensive health, dental, and vision insurance
Unlimited paid time off and generous parental leave
Flexible hybrid work environment

Job summary

A leading healthcare technology company in San Francisco is seeking an AI/Machine Learning Engineer to design and deploy AI solutions that transform health data into valuable insights. You will lead projects that directly impact patient care, working within a supportive culture dedicated to diversity and innovation. Ideal candidates will have extensive experience in machine learning, strong Python skills, and familiarity with LLM frameworks. This role offers a competitive salary and a flexible hybrid work environment.

Qualifications

  • 5+ years of experience in machine learning engineering with a focus on production ML systems.
  • Strong proficiency in Python and AI/LLM frameworks.
  • Experience designing and implementing production-grade ML pipelines.

Responsibilities

  • Design and implement end-to-end machine learning solutions.
  • Develop and optimize LLM solutions for healthcare applications.
  • Create robust data pipelines for medical data.

Skills

Machine learning engineering
Production ML systems
Python
AI/LLM frameworks (LangChain, LangGraph, AutoGen, CrewAI)
Data preprocessing
MLOps
Solid software engineering skills

Education

Degree in Computer Science or related field

Tools

LangChain
LangGraph
AutoGen

Job description

A leading healthcare technology company in San Francisco is seeking an AI/Machine Learning Engineer to design and deploy AI solutions that transform health data into valuable insights. You will lead projects that directly impact patient care, working within a supportive culture dedicated to diversity and innovation. Ideal candidates will have extensive experience in machine learning, strong Python skills, and familiarity with LLM frameworks. This role offers a competitive salary and a flexible hybrid work environment.
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