AI Agent 开发工程师（实习生）（J106681）
Core
Develop and iterate an AI Agent harness for industrial scenarios, focusing on tool invocation, context management, multi-agent orchestration, and performance optimization.
Role type
AI Agent Development Engineer (Intern)
Builds
AI Agent harness, reusable Agent Skills, automated evaluation harnesses
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, TypeScript, LLM application development, Agent frameworks (ReAct, tool calling, context management), debugging and trace analysis, prompt engineering
Preferred skills
MCP/Skills framework experience, Agent evaluation/benchmarking, inference acceleration, KV Cache optimization
Technologies
Python, TypeScript, LangGraph, AutoGen, Cline, Claude Code, Cursor
Responsibilities
Implement tool invocation chains and multi-agent orchestration logic; Define and maintain Agent Skills with input/output contracts; Design task sets and scoring logic for automated regression testing; Optimize prompt structures, token costs, latency, and tool call success rates; Adapt and tune agents for real-world business pain points; Conduct technical research on LLM and Agent advancements
Seniority
Intern
