Backend Engineer, Large Model Knowledge System/Content understanding/RAG (ByteDance Singapore)
Summary
Build and optimize large-model RAG systems, vector databases, and multimodal content pipelines on public cloud for ByteDance’s AI infrastructure.
- Build general domain knowledge base solutions for public cloud
- Build multimodal content understanding pipeline
- Design large model RAG and knowledge base architecture
- Implement cloud native monitoring billing and elastic scheduling
- Implement large scale vector retrieval
- Maintain and extend vector database backend architecture
- Optimize vector computing components
- Support multimodal unstructured data processing and storage