1) Research core technologies such as AI agent planning, state management, tool invocation, memory mechanism, and long sequence reasoning to enhance the agent's task execution capability; 2) Responsible for Agent task flow orchestration, combined with RPA/low code tools, to achieve cross system automation operations; 3) Continuously optimize strategies such as Prompt Engineering, Knowledge Enhancement (RAG), and Model Fine tuning (SFT) to enhance the performance of agents in complex business scenarios; 4) Evaluate and optimize the interaction experience of AI agents to improve their natural language understanding ability and accuracy in generating content.