Responsibilities:

. Engage with top-tier industry clients to deeply understand their business scenarios and requirements；

2. Leverage large language model (LLM)-centric thinking to design and implement complex Agent architectures and Workflow systems—covering the full lifecycle from solution design to code implementation；Enable multi-agent AI collaboration and rapidly build and demonstrate prototypes or demos to help clients clearly grasp the value and practical application of AI. Bridge the gap between LLM technology demos and real-world business value creation, driving projects from exploration into formal implementation；

3. Possess strong communication and presentation skills, with the ability to engage directly and frequently on-site with client executives, business users, and technical teams. Focus on rapid prototyping and technical validation, and once the project moves into formal development, act as a critical bridge between the client and ...