智能体算法工程师（J104221）
Core
Design and develop full-stack large model agent systems with autonomous planning, complex reasoning, and dynamic decision-making capabilities for business scenarios.
Role type
Senior IC machine-learning engineer (large language model agents)
Builds
Autonomous agent systems with planning, reasoning, and tool-use capabilities
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
ReAct, Chain-of-Thought (CoT), Plan-and-Execute, PyTorch, LangChain, AutoGen, large language model architecture, reinforcement learning, multi-agent collaboration, intent understanding, task planning, memory management
Preferred skills
Experience building recommendation or search agents, top-tier conference publications (CVPR/ACL/ICML), ACM/IOI/IMO competition awards, core contributions to major open-source projects
Responsibilities
Design and develop full-stack agent systems; lead core algorithm research and iteration; build multi-dimensional evaluation frameworks; drive business innovation and product implementation
Seniority
Senior, hands-on IC
