Participate in the engineering development and optimization of enterprise-level RAG systems, focusing on knowledge processing, retrieval strategies, and context construction
Job Summary
Participate in the engineering development and optimization of enterprise-level RAG systems, focusing on knowledge processing, retrieval strategies, and context construction.
Involved in the full engineering workflow, from document processing to RAG performance optimization.
Build and validate RAG application prototypes using platforms such as Dify and support experiments in specific business scenarios.
Matching Summary
Participate in the engineering development and optimization of enterprise-level RAG systems, focusing on knowledge processing, retrieval strategies, and context construction.
Skills & Requirements
Must-have
Python programming language
RAG system principles
Document processing
Retrieval strategies
Context construction
Nice-to-have
Hands-on project experience
Strong learning ability
Problem-solving skills
Teamwork spirit
Key Requirements
Undergraduate or graduate student in CS, Data Science, AI
Familiar with Python
Familiar with RAG principles
Exposure to LLM/Agent frameworks (LangChain, Dify)