Senior AI Developer Productivity Engineer

The role

You will build LLM-powered tools and workflows that make Zoox engineers more productive. Work includes automating boilerplate, tests and refactoring, and bug and security checks. You will also set best practices for responsible AI use in the development pipeline.

What you will do

• Architect and implement LLM-powered solutions using frontier models such as Claude, Gemini and GPT
• Build AI tools to improve engineer productivity through code assistance, automated code review and operational efficiency
• Develop systems to automate boilerplate generation, test creation and code refactoring
• Create LLM workflows for bug detection, security vulnerability assessment and code optimization
• Bridge developers' needs and infrastructure solutions
• Establish best practices for responsible AI integration in the development pipeline

Required qualifications

• Bachelor's or Master's degree in Computer Science, Engineering or a related field with 7+ years of industry experience
• Solid experience as a full-stack or backend developer
• Deep understanding of system design, data structures and algorithms
• Fluency in Python or C++
• Experience with LLM evaluation metrics and performance optimization
• Knowledge of embedding models and vector databases

Nice to have

• Experience working with IDEs and LSPs
• Experience developing and/or integrating debuggers with build systems
• Experience managing and optimizing large monolithic repositories, including build systems, version control workflows and developer tooling

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring it to market. It works at the intersection of robotics, machine learning and design to provide mobility-as-a-service in urban environments.