Backend Engineer - Large Model Knowledge System/Content understanding/RAG (ByteDance Singapore)
Summary
Develops backend systems for large model knowledge systems, focusing on RAG pipelines, vector databases, and multimodal content understanding to enhance AI-driven content retrieval and processing.
- Build multimodal content understanding pipeline
- Design large model RAG architecture
- Drive cloud native monitoring and billing
- Implement elastic scheduling
- Implement vector retrieval systems
- Maintain vector database backend
- Optimize vector computing components
- Resolve service availability bottlenecks
- Support multimodal unstructured data storage