AI Accelerator - Programmer

UCSF•San Francisco, CA

1d•$130,000 - $165,000•Hybrid

About The Position

This position requires 1 day onsite per week, based on business needs, this may increase. UCSF Health is seeking a highly skilled AI Engineer to design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system efficiency. This role spans the full AI lifecycle, including data pipeline development, model training and evaluation, and deployment of machine learning and generative AI solutions on modern cloud platforms. The AI Engineer will translate emerging technologies, including large language models (LLMs), into production-ready tools that integrate with healthcare systems. Responsibilities include building robust data pipelines, deploying machine learning and generative AI models, and developing APIs or web-based applications that enable seamless use in clinical and operational workflows. This role works closely with clinicians, data scientists, and IT teams to deliver solutions that are reliable, secure, and scalable.

Requirements

Software, data, or machine learning engineers with 5+ years of experience building AI systems in production.
Strong skills in Python and SQL.
Hands-on experience with MLOps, CI/CD, and cloud platforms (e.g., GCP, AWS, or Azure).
Comfortable developing and maintaining data pipelines.
Comfortable deploying machine learning or generative AI models.
Comfortable building APIs or lightweight web applications.
Ability to work across the stack and deliver practical, user-facing solutions in a healthcare environment.

Responsibilities

Design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system efficiency.
Span the full AI lifecycle, including data pipeline development, model training and evaluation, and deployment of machine learning and generative AI solutions on modern cloud platforms.
Translate emerging technologies, including large language models (LLMs), into production-ready tools that integrate with healthcare systems.
Build robust data pipelines.
Deploy machine learning and generative AI models.
Develop APIs or web-based applications that enable seamless use in clinical and operational workflows.
Work closely with clinicians, data scientists, and IT teams to deliver solutions that are reliable, secure, and scalable.