Agent算法工程师-AI Platform
Core
Design and optimize AI Agents for intelligent customer service scenarios, focusing on architecture optimization and model post-training to achieve leading performance.
Role type
Senior IC Agent Algorithm Engineer
Builds
Production-ready Agent solutions and prototypes for intelligent customer service applications
Domain
AI / Large Language Models / Agentic Systems
Deliverable
production ML models
Required skills
Agentic RL methods, Python, LLM post-training (SFT/RL), Agent frameworks (LangGraph, LlamaIndex, OpenAI AgentsSDK), Prompt Engineering, Multi-Agent architectures, Context Engineering, ReAct/PlanAct/CodeAct patterns, MCP/A2A/FunctionCall protocols
Preferred skills
AI product experience, AI algorithm domain background, Project management
Technologies
CodeRL, Reward Systems, Linux, LangGraph, LlamaIndex, OpenAI AgentsSDK, GoogleADK
Responsibilities
Optimize Agent architecture (tools, context management, orchestration) and model performance via Agentic RL; Research Self-Evolving AI Systems and Self-Improving Agents; Design and develop AI application prototypes to validate product concepts and optimize Agent effects for customer service.
