Agent算法工程师（J106059）
Core
Design and develop full-stack Large Language Model (LLM) Agent systems with autonomous planning, complex reasoning, and dynamic decision-making capabilities for business scenarios.
Role type
Senior IC Machine Learning Engineer (LLM Agents)
Builds
Autonomous Agent systems with multi-agent collaboration, tool use, and long-term memory management
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
LLM architecture design, ReAct, Chain-of-Thought (CoT), Plan-and-Execute, multi-agent collaboration, tool use, long/short-term memory management, PyTorch, LangChain, AutoGen, reinforcement learning, productization of academic research
Preferred skills
Experience building recommendation or search agents, publications in top-tier conferences (CVPR/ACL/ICML), awards in ACM/IOI/IMO, core contributions to major open-source projects
Responsibilities
Design and develop full-stack LLM Agent systems, lead core algorithm R&D and optimization, build multi-dimensional evaluation systems, drive business innovation and productization
Seniority
Senior, hands-on IC
