Senior AI Developer Productivity Engineer

Job description

Job responsibilities

• Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT.
• Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency.
• Develop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoring.
• Create intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimization.
• Bridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipeline.

Job requirements

• 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, showcasing a deep understanding of system design, data structures, and algorithms.
• Fluency in at least one of the following languages: Python or C++.
• Experience with LLM evaluation metrics and performance optimization
• Knowledge of using embedding models and vector databases
• 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