百度后端开发工程师(J104290)
社招全职5年以上ACG地点:北京状态:招聘
工作描述
任职要求 -本科及以上,5 年以上后端开发经验,3 年以上分布式平台 / AI 平台 / 大模型 RAG 平台后端建设经验,有AI平台开发和AI知识库开发经验优先 -精通 Python/TypeScript/Go 其中一种,熟练微服务、异步队列、分布式锁、多级缓存、分库分表等分布式技术 -熟悉向量数据库(Milvus/Chroma/PgVector)、ES、Redis、MySQL 优化,有海量文档检索、知识库平台落地经验 -了解 LLM 调用链路、Prompt 管理、Agent 工作流、RAG 完整链路,有 OKF / 标准化知识库、智能流程引擎开发经验优先 -具备复杂系统架构设计能力,能独立完成高并发、大数据量场景技术方案设计与落地 -熟悉监控、链路追踪、压测、容灾降级体系,具备线上重大故障排查与复盘能力 -良好的文档沉淀、跨团队沟通能力,具备…
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包括英文材料
后端开发+
https://www.youtube.com/watch?v=tN6oJu2DqCM&list=PLWKjhJtqVAbn21gs5UnLhCQ82f923WCgM
Learn what technologies you should learn first to become a back end web developer.
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.
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.
TypeScript+
https://www.youtube.com/watch?v=JHEB7RhJG1Y
Master TypeScript from basics to advanced concepts through hands-on tutorials covering type annotations, generics, data fetching, Zod library, and more, with practical challenges for effective real-world application.
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。
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
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.
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