Senior AI Developer Productivity Engineer

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.