We’re hiring an AI Engineer to design and build a production-grade RAG platform that powers our test autoscripting agent. This platform ingests our QA codebase and documentation, transforms them into embeddings, and serves relevant context (page objects, fixtures, helpers, examples) via a retrieval API—enabling high-quality LLM-generated tests. You’ll own everything from ingestion to evaluation, including keeping the index fresh via Jenkins and optimizing for token cost and latency.
This role is ideal for someone who thrives in the intersection of LLM tooling, backend engineering, and developer...