• Lead AI agent enterprise product planning, requirements research, and PRD output
• Interface with clients and R&D to define agent capabilities and interaction logic
• Drive product delivery, iterative optimization, ensuring alignment with customer scenarios
• Collaborate with pre-sales, R&D, and delivery teams on product proposals and demos
System Development Engineer
• Design AI agent platform backend architecture, API development, and service implementation
• Integrate LLM APIs for agent scheduling, data processing, and business logic
• Ensure system stability, performance optimization, and security compliance
• Collaborate with product, frontend, and operations for testing and deployment
Pre-Sales Engineer (B2B)
• Conduct client requirements research, deliver AI agent industry solutions and presentations
• Support sales with demos, POC testing, and technical Q&A
• Analyze client scenarios for customized solution design and cost estimation
• Liaise with internal R&D to convey client needs and drive solution implementation
What We Look For
First Principles Thinking
In the age of AI, asking the right questions is more valuable than providing answers. You think from fundamentals, not bound by past experience or fixed paradigms. As AI handles more execution work, you break through role boundaries to identify key factors and core issues in complex environments.
Deep Curiosity & Continuous Exploration
As a practitioner in the AGI era, you use AI as a tool to expand your capabilities, maintaining deep curiosity about technology, products, and industry trends. You thrive in uncertainty, continuously learning, experimenting, and iterating, and enjoy building new understanding from the unknown.
