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# Sr. Software Engineer (Health AI And Machine Learning)

- **Company:** 23andMe, Inc.
- **Location:** Salt Lake City, UT, United States
- **Experience:** Expert
- **Salary:** $165,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Data Files, Software Debugging, Python (Programming Language), Machine Learning, Software Engineering, Pytorch, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Pandas, Information Technology, Production Code, Evaluation of Large Language Models, Terraform, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-health-ai-and-machine-learning-salt-lake-city-ut--765595b3-9a52-48d8-8210-152c9c298c40

## About the Role

Software Engineering, Artificial Intelligence (AI), Machine Learning, Software Engineering, Genetics, Data Sets, Artificial Intelligence (AI), DNA, Medical Research, Nonprofit, * B.S. in Computer Science or equivalent; 4+ years of industry experience

 * Hands-on experience building agentic AI systems and LLM-powered pipelines in production
 * Experience with RAG architectures and vector stores
 * Strong instincts around LLM evaluation: you understand why "it looks good" isn't enough for a health product
 * Proficiency with Python and related scientific libraries (pandas, pytorch)
 * Infrastructure as code experience, ideally in Terraform on AWS, containerized in Docker
 * Hands-on experience working with CI/CD deployment pipelines and testing frameworks
 * A team player attitude with comfortability operating cross-functionally across the organization

## Description

* Build agentic AI systems that generate personalized health and ancestry insights for customers, orchestrating LLMs with relevant genetic and clinical context
 * Design and implement RAG pipelines that retrieve relevant context from vector stores to ground model outputs in a customer's specific genetic data
 * Build robust evaluation frameworks to measure model quality, catch regressions, and ensure AI-generated results meet the bar for a health product
 * Build and rely on CI/CD methods and automatic testing to ensure reliable code, continuously delivered
 * Debug production incidents and get services back online - you'll own what you ship
 * Integrate AI into daily workflows to automate tasks and improve efficiency