阿里云阿里云智能-解决方案架构师 - GenAI (Hands-on / Engineering Focused)-Maas
社招全职5年以上地点:北京 | 杭州 | 上海状态:招聘
工作描述
任职要求 1、开发者背景:拥有软件工程背景,在AI的合作下可以做到精通至少一门编程语言(Python为佳,熟练使用LangChain, LlamaIndex等框架),有能力现场手写代码演示。 2、AI/LLM 实战经验:熟悉Transformer架构,有实际的Prompt Engineering、RAG系统搭建经验,理解向量检索(Vector Search)原理。甚至具有大模型微调(Fine-tuning)经验者更佳。在日常的工作中深度应用AI辅助办公,包括代码、文档等基础工作以及创新、方案等进阶工作。 3、解决问题的执着:面对报错和未知Bug,有刨根问底的能力,不满足于转发文档,而是致力于提供Workable Solution。 4、商业敏锐度:理解Token商业模式,懂得通过技术手段帮助客户扩大业务规模,从而自然带动模型用量的增长。 工作职责 您将作为阿里云MaaS平台及通义系列模型(Qwen/Wan)的核心技术专家。您的核心使命是通过技术硬实力,加速客户业务系统的…
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包括英文材料
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.
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.
LlamaIndex+
https://developers.llamaindex.ai/python/framework/getting_started/starter_example/
This tutorial will show you how to get started building agents with LlamaIndex.
https://www.ibm.com/think/tutorials/llamaindex-rag
LlamaIndex is a powerful open source framework that simplifies the process of building RAG pipelines.
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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