AI Central - Senior AI Engineer

Create and manage repository-level context artifacts such as instruction files, skills, and prompt libraries to standardize AI coding agent outputs across multiple repositories.

Analyze and comprehend unfamiliar production codebases in at least two programming languages to document and automate code understanding.

Design context retrieval systems focusing on chunking, indexing, and grounding AI agent responses in actual code repository facts to improve output quality without altering underlying models.

Proficiency in reading and reasoning about production code in at least two programming languages.

Experience in technical writing targeted at developer audiences with ability to templatize documentation.

Work Experience Required: Not explicitly mentioned in the JD.

Familiarity with automated documentation or code comprehension processes.

Experienced in working with legacy codebases, preferably including COBOL, to provide domain and application context for AI agents.

Skilled in static-analysis tooling such as AST or code-graph generation to automate context extraction.

Background or strong interest in information architecture or taxonomy design to structure repository-level context effectively.