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
Deliverable
production ML models | product features | infrastructure
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