RAG Content Retrieval Backend Engineer - ByteRec

Build and deliver backend framework and middleware for a large-model RAG architecture, powering public cloud Knowledge Base features and external stable service capabilities. Develop general-purpose domain knowledge base solutions, extend and maintain the backend architecture of a self-developed vector database, and support processing/storage for multimodal ML unstructured data. Improve reliability through backend debugging, monitoring, billing, and elastic scheduling, while collaborating on retrieval system architecture and feature delivery.