# Senior AI Developer Productivity Engineer

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** ML Engineering
**Salary:** $192k – $300k/yr
**Experience:** 7+ years
**Skills:** Python, C++, LLMs, Aws Bedrock, Llama, Embedding Models, Vector Databases, System Design, Data Structures, Algorithms
**Posted:** 2025-02-10

> 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.

## Job Description

## 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**.

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