Agent研发专家-用户增长（北京）
Core
Develop an LLM-based AI Agent R&D system and explore Multi-Agent collaboration mechanisms to solve complex task planning, decomposition, and human-AI/Agent-AI coordination.
Role type
Senior IC AI Agent Research Engineer
Builds
AI Agent R&D systems and Multi-Agent collaboration frameworks
Domain
Artificial Intelligence / Large Language Models / Software Engineering
Deliverable
production ML models
Required skills
LLM principles and methods, Multi-Agent systems, task decomposition, automated planning, reinforcement learning, Prompt Engineering, Context Engineering, code generation, code quality evaluation
Preferred skills
Industrial-grade LLM/RL agent projects, top-tier conference publications, industrial code intelligence platforms
Technologies
LLMs, Reinforcement Learning, Prompt Engineering, Context Engineering
Responsibilities
Design algorithms to extract business value data for complex intent understanding and architecture design; optimize Agent problem-solving paths based on human experience; track latest industry research in multi-agent and LLM applications.
Seniority
Senior, hands-on IC
