Data Scientist, LLM (AI Agent)

This role involves architecture design and core module development of LLM-based AI Agent systems, including task planning, memory management, tool invocation, and workflow execution. You will lead the development of a general-purpose Agent platform capable of multi-task coordination and multi-agent collaboration, enhancing the usability and stability of large models in complex business scenarios. The role requires leveraging LLMs, RAG, vector search, and function calling to build intelligent systems with contextual understanding and knowledge injection capabilities. You will develop evaluation systems and automated testing tools for Agent behavior to continuously optimize task completion rate, response quality, and reliability, driving the application of AI Agents in vertical scenarios such as search, trading, deep analysis, and automated data engineering to unlock the full value of LLMs.