蚂蚁金服蚂蚁集团-智能体研发工程师（数据方向）-支付宝技术
社招全职3年以上技术类-数据地点：北京 | 杭州状态：招聘♡ 收藏
工作描述
任职要求 1.智能体构建能力，熟练掌握主流AI协议与技术体系（MCP、Memory、知识库、Agent框架如LangChain/LangGraph等或同等技术栈），具备从需求分析、架构设计到高质量代码实现的端到端系统开发能力，能独立完成AI应用/智能体的工程化落地； 2.熟悉检索增强生成（RAG）技术体系，理解Agentic RAG架构范式（多步检索、工具调用、自主规划、反思迭代），有RAG项目落地经验； 3.具备生成式数据挖掘与传统数据挖掘的实践经…
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包括英文材料
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
MCP+
https://www.youtube.com/watch?v=eur8dUO9mvE
Unlock the secrets of MCP! 🚀 Dive into the world of Model Context Protocol and learn how to seamlessly connect AI agents to databases, APIs, and more. Roy Derks breaks down its components, from hosts to servers, and showcases real-world applications. Gain the knowledge to revolutionize your AI projects!
https://www.youtube.com/watch?v=L94WBLL0KjY
Let's talk about MCP or the Model Context Protocol.
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
LangGraph+
https://langgraph.com.cn/index.html
LangGraph 是一个低级别的编排框架，用于构建、管理和部署长时间运行、有状态的智能体。
https://realpython.com/langgraph-python/
LangGraph is a versatile Python framework designed for stateful, cyclic, and multi-actor Large Language Model (LLM) applications.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
数据挖掘+
https://www.youtube.com/watch?v=-bSkREem8dM
Database vs Data Warehouse vs Data Lake
https://www.youtube.com/watch?v=7rs0i-9nOjo
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
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