Agent算法负责人-国际电商
Core
Lead R&D and iteration of multi-agent systems for e-commerce business, exploring architecture limits to maximize model capabilities in scenarios like automatic planning, generalized decision-making, and multi-modal interaction.
Role type
Senior IC AI Agent Architect / System Lead
Builds
Production multi-agent tools, models, engines, and platforms for e-commerce
Domain
E-commerce + AI Agents / Large Language Models
Deliverable
production ML models
Required skills
Python, Linux development, LLM application frameworks (LangGraph, LangChain, LlamaIndex, OpenAI AgentsSDK, GoogleADK), Agent architectures (Multi-Agent, ReAct, PlanAct, CodeAct), interaction protocols (MCP, A2A, FunctionCall), prompt engineering, evaluation frameworks, retrieval frameworks, post-training (SFT, RL)
Preferred skills
Experience with domestic and international LLM services, designing and landing complex Agent systems
Technologies
LangGraph, LangChain, LlamaIndex, OpenAI AgentsSDK, GoogleADK, MCP, A2A, Python, Linux
Responsibilities
Optimize Agent System performance and stability (resource utilization, interaction speed, cost), track latest AI Agent progress to validate new technologies, research innovative application scenarios in e-commerce content ecosystem and user experience
Seniority
Senior, hands-on IC
