AI 全栈工程师（AI Agent 方向）
Core
End-to-end engineering of AI products from 0 to 1, focusing on AI Agents and RAG systems to enable business scenario intelligence.
Role type
Senior IC AI Full-stack Engineer (AI Agent & RAG)
Builds
AI Agent architectures, RAG pipelines, and high-availability backend services for business applications.
Domain
Artificial Intelligence, Large Language Models (LLMs), Backend Engineering
Required skills
AI Agent engineering (LangGraph, LangChain, AgentScope, Google ADK), RAG system design, Vector databases, Prompt engineering, Python (FastAPI), Microservices, Docker/Kubernetes, CI/CD
Preferred skills
Model fine-tuning, Spring AI/Spring Boot, Frontend basics (Vue/React)
Technologies
LangGraph, LangChain, AgentScope, Google ADK, Milvus, FAISS, FastAPI, Go (Gin), Docker, Kubernetes, Azure OpenAI, Tongyi Qianwen
Responsibilities
Design and develop AI Agent workflows and multi-agent collaboration; Build and optimize end-to-end RAG systems; Implement LLM engineering and model scheduling; Develop high-availability backend APIs and business logic; Manage project deployment, containerization, and CI/CD pipelines; Translate business requirements into technical solutions.
Seniority
Senior, hands-on IC