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.
About the job
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
Python, C++, LLMs, Aws Bedrock, Llama, Embedding Models, Vector Databases, System Design, Data Structures, Algorithms
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