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ZooxZooxFoster City, CA

Senior AI Developer Productivity Engineer

Develops LLM-powered tools to boost developer productivity 10x, including code assistance, automated reviews, and task automation for autonomy software. Requires 7+ years experience as full-stack/backend developer fluent in Python or C++ with LLM optimization knowledge.

192k – 300k/yr
On-site7+ YOEML Engineering

About the role

Responsibilities

  • Architect and implement LLM-powered solutions using both commercial providers like AWS Bedrock and open-source models like Llama.
  • Build tools that aim to improve engineer productivity by 10x through intelligent code assistance, automated code review, and context-aware documentation generation.
  • 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.

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, 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.

Bonus Qualifications

  • 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.

Skills

PythonC++LLMsAws BedrockLlamaEmbedding ModelsVector DatabasesSystem DesignData StructuresAlgorithms

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