高德地图高德-安全Agent研发专家-北京
社招全职3年以上地点:北京状态:招聘
工作描述
任职要求 任职要求: 1、学历要求:硕士及以上学历,计算机科学、软件工程、人工智能等相关专业背景更佳。 2、经验要求: (1)三年以上JAVA研发经历; (2)有任一安全风控(电商支付风控、内容风控、网络安全、数据安全、端安全)领域相关产品的开发经验,对安全风控业务有深入的理解和实践; (3)有实际的Agent设计和落地经验,完整参与过Agent系统的架构设计、开发、上线与迭代。 3、技能要求: (1)熟悉主流Agent框架(LangChain、AutoGPT、MetaGPT、CrewAI等),了解其设计思想与适用场景; (2)深入理解大模型技术栈:Transformer架构、Prompt Engineering、RAG、Function Calling、Multi-Agent协作框架; (3)数据结构、算法等基础扎实,熟练使用SpringBoot、MyBatis等框架,深入了解底层原理…
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包括英文材料
学历+
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
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.
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.
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.
AutoGPT+
[英文] What is AutoGPT?
https://www.ibm.com/think/topics/autogpt
https://www.youtube.com/watch?v=v-5AWQlTFw8
Someone has created a version of ChatGPT called AutoGPT and it’s a lot more powerful.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
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