
神州数码AI开发工程师(2)(J20658)
社招全职3-5年地点:武汉状态:招聘
任职要求
本科及以上学历,计算机、软件工程、人工智能等相关专业优先。 3-5年Python开发经验,具备扎实的编程基础和良好的编码习惯,至少掌握Flask/Django/FastAPI等其中一种主流Web框架。 熟练掌握AI应用开发相关技术,需掌握以下技能的4项及以上: 理解大模型提示词工程,有良好的提示词编写习惯,能对提示词调优。 理解并实践过RAG(检索增强生成)方案; 使用或集成过向量数据库(如FAISS、Milvus、Weaviate等); 熟悉LangChain或类似的大模型开发框架; 熟悉主流大语言模型的调用与应用(如OpenAI、LLaMA、DeepSeek等); 理解大模型Agent的实现过程。 至少参与过1-2个实际的AI项目交付,有完整项目生命周期经验。 具备良好的沟通能力和团队合作精神,具备较强的学习能力和问题解决能力。 加分项: 有私有化模型部署、模型微调的经验; 熟悉AI工作流平台的开发(如Dify、Hi agent 、百炼平台等); 了解多模态AI应用、文档解析等相关技术。 了解MCP、A2A等协议。
工作职责
参与公司AI应用项目的设计、开发与交付,负责核心功能模块的实现与优化。 深度参与基于大语言模型(LLM)的应用开发,包括RAG(检索增强生成)、Agent(智能体)等技术方案的落地。 负责AI项目中数据流、模型调用、检索框架等系统架构的搭建与性能优化。 跟进AI前沿技术,持续优化和升级现有AI应用,保障产品的稳定性与高效性。 跨团队协作,推动AI项目顺利交付,支持客户的定制化需求。
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.
编程规范+
[英文] Google Style Guides
https://google.github.io/styleguide/
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.
Flask+
https://www.youtube.com/watch?v=Z1RJmh_OqeA
Flask is a micro web framework written in Python.
Django+
https://www.youtube.com/watch?v=nGIg40xs9e4
Learn how to build a simple Django application in as fast as 20 minutes!
https://www.youtube.com/watch?v=rHux0gMZ3Eg
Learn Django and start building amazing back-ends!
FastAPI+
https://fastapi.tiangolo.com/tutorial/
This tutorial shows you how to use FastAPI with most of its features, step by step.
https://realpython.com/get-started-with-fastapi/
FastAPI is a web framework for building APIs with Python.
https://www.youtube.com/watch?v=rvFsGRvj9jo
This video today is a crash course, where we will go through the basics of FastAPI.
Web+
https://web.dev/learn
Explore our growing collection of courses on key web design and development subjects.
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
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
Faiss+
https://faiss.ai/index.html
Faiss is a library for efficient similarity search and clustering of dense vectors.
https://huggingface.co/learn/llm-course/en/chapter5/6
In this section we’ll use this information to build a search engine that can help us find answers to our most pressing questions about the library!
Milvus+
[英文] Tutorials Overview
https://milvus.io/docs/tutorials-overview.md
This page provides a list of tutorials for you to interact with Milvus.
https://www.baeldung.com/milvus-tutorial-intro
In this tutorial, we’ll explore Milvus, a highly scalable open-source vector database.
https://www.youtube.com/watch?v=7ejr_ZzU9jw
Discover the power of Milvus, an open-source vector database revolutionizing AI applications.
https://www.youtube.com/watch?v=Yhv19le0sBw
Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications.
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.
开发框架+
[英文] Understanding Modern Development Frameworks: A Guide for Developers and Technical Decision-makers
https://www.freecodecamp.org/news/understanding-modern-development-frameworks-guide-for-devs/
Llama+
https://github.com/LlamaFamily/Llama-Chinese
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用。
https://www.llama.com/docs/overview/
This guide provides information and resources to help you set up Llama including how to access the model, hosting, how-to and integration guides.
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.
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.
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