Job Description Lead the product planning and technical implementation of AI Agent (intelligent agent) solutions Design, orchestrate, and optimize multi-agent workflows (Agent Workflow) Build autonomous agent systems based on large language models, including core capabilities such as tool usage (Tool Use), memory management, and planning & reasoning Collaborate closely with engineering teams to drive the iteration of AI agents from prototype to production-level systems Translate complex business processes into scalable and executable agent workflows Job Requirements Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related fields Familiar with Prompt Engineering and multi-agent collaboration frameworks (e.g., LangGraph, CrewAI, AutoGen, etc.) Experience with at least one mainstream LLM API (e.g., OpenAI, Anthropic, Grok, Qwen, DeepSeek) and understanding of Function Calling / Tool Use mechanisms Proven experience in building complex agent workflows (e.g., multi-step task decomposition, tool integration, state management, memory systems) is highly preferred Strong system thinking and problem-solving skills, with the ability to break down complex processes into executable workflows Excellent communication and teamwork skills, able to collaborate effectively with product, engineering, and business teams
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