蚂蚁金服蚂蚁集团-数据智能体架构师-Agent
社招全职5年以上技术类-开发地点：杭州状态：招聘
工作描述
任职要求 1、 计算机科学或相关专业本科及以上学历，5年以上平台架构或AI工程相关经验； 2、 精通Python/Java/Go中至少一门语言，具备扎实的面向对象设计与编程能力，有高并发、分布式系统设计经验； 3、 熟悉大语言模型（LLM）相关技术栈，包括但不限于Transformer架构、Prompt Engineering、Fine-tuning、RAG、Agent框架等，有实际落地经验； 4、 熟悉主流AI/ML框架（如PyTorch、LangChain、LlamaIndex等），了解模型推理优化与部署（如vLLM、TensorRT等）； 5、 具备开源框架…
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包括英文材料
学历+
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
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.
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程！从开始到结束不到一个小时，包括如何在Go中构建API的完整演示。没有多余的内容，只有你需要知道的知识。
面向对象+
https://liaoxuefeng.com/books/java/oop/index.html
面向对象编程，英文是Object-Oriented Programming，简称OOP。
https://liaoxuefeng.com/books/python/oop/index.html
面向对象编程——Object Oriented Programming，简称OOP，是一种程序设计思想。
https://www.youtube.com/watch?v=SiBw7os-_zI
Learn the basics of object-oriented programming all in one video.
高并发+
https://www.baeldung.com/concurrency-principles-patterns
In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.
https://www.baeldung.com/java-concurrency
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
https://www.oreilly.com/library/view/concurrency-in-go/9781491941294/
You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.
https://www.oreilly.com/library/view/modern-concurrency-in/9781098165406/
With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.
https://www.youtube.com/watch?v=qyM8Pi1KiiM
https://www.youtube.com/watch?v=wEsPL50Uiyo
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
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.
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社招3-5年
1. 计算机科学、人工智能、软件工程、数据科学或相关专业本科及以上学历。 2 精通Python/Java/Go其中的一种或者多种编程语言。 3. 熟悉大语言模型（LLM）原理及应用，具备Prompt
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1）计算机科学、人工智能、软件工程或相关专业在读硕士，博士； 2）有相关领域顶会论文（ICML,ICLR,AAAI,NeuralPS,VLDB，SIGMOD等）发表经验； 3）扎实的工程能力，优良的编
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