Agent应用开发实习（J105397）
Core
Develop efficiency-enhancing AI agents, build AI knowledge bases, and construct automated evaluation systems for workflow quality.
Role type
Junior IC AI Agent Application Developer
Builds
AI agents, AI knowledge base infrastructure, and automated evaluation frameworks
Domain
Artificial Intelligence / Large Language Models / Workflow Automation
Deliverable
production ML models
Required skills
Computer science fundamentals, data structures, operating systems, networking, databases, LLM principles, LangChain, agent development
Preferred skills
Data cleaning, data governance, strategy formulation, user query collection, effect evaluation system design, workflow orchestration, context management, exception handling, state tracking
Technologies
LangChain, Large Language Models (LLMs)
Responsibilities
Participate in developing various efficiency agents; Build and develop AI knowledge base front-end and back-end; Design data storage models; Collaborate on data cleaning, governance, and strategy writing; Support building evaluation sample sets, golden samples, scoring rules, and reports; Assist in designing and configuring automated workflows for quality scanning and regression validation; Participate in workflow node orchestration and optimization.
