RAG Content Retrieval Backend Engineer, ByteRec

Build and deliver backend framework and middleware for large-model RAG architectures, enabling feature delivery and demand support for public cloud vector database products. Develop general-purpose domain knowledge base solutions for large-model application scenarios, and extend the backend architecture of the self-developed vector database. Work on iterative capabilities including debugging, monitoring, billing, and elastic scheduling, while enabling processing and storage for multimodal unstructured data.