盒马盒马-java服务端开发工程师（智能客服方向）-杭州
社招全职3年以上技术类-开发地点：杭州状态：招聘
任职要求
1、学历：计算机相关专业本科及以上学历，1-3年Java服务端开发经验，有智能客服/对话系统项目经历者优先 2、精通Java及SpringBoot/SpringCloud生态，熟悉MySQL/Redis/MQ等中间件，具备高并发系统设计能力 3、具备大模型（如通义千问、Lamma等）API集成经验 4、理解Prompt工程原理，有实际优化场景落地案例 5、熟悉COT、ReAct等大模型推理方式 加分项 1、熟悉客服系统核心组件（ACD分配、CRM集成、语音网关对接） 2、有向量数据库（Milvus/Pinecone）或RAG架构开发经验 3、了解基础NLP技术（实体识别、文本分类）
工作职责
1、负责智能客服系统后端服务的架构设计、开发与优化，保障高并发场景下的系统稳定性 2、对接大模型（LLM）能力引擎，构建智能对话管理、意图识别、知识问答等核心功能模块 3、开发客服工单处理、会话路由、实时质检等业务系统，提升客服效率与用户体验 4、实现与大模型API的工程化集成，设计Prompt模板、响应解析及异常处理机制 5、构建客服场景下的数据反馈闭环，支持对话数据清洗、标注及模型效果迭代 6、关注客服场景痛点（响应时效、多轮对话、服务降级等） 7、能通过技术手段提升客服效率与用户满意度
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.
Spring Boot+
https://spring.io/guides/gs/spring-boot
his guide provides a sampling of how Spring Boot helps you accelerate application development.
https://www.youtube.com/watch?v=Nv2DERaMx-4&list=PLzUMQwCOrQTksiYqoumAQxuhPNa3HqasL
The author teaches you how to use Spring Boot from a complete beginner, to building a REST API with a real database, Dockerising it and deploying it to the cloud.
Spring Cloud+
[英文] Spring Cloud Series
https://www.baeldung.com/spring-cloud-series
Learn Spring Cloud including concepts, additional libraries and examples for distributed systems.
MySQL+
https://juejin.cn/post/7190306988939542585
这是一篇 MySQL 通关一篇过硬核经验学习路线，包括数据库相关知识，SQL语句的使用，数据库约束，设计等。
[英文] MySQL Tutorial
https://www.mysqltutorial.org/
your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.
https://www.youtube.com/watch?v=5OdVJbNCSso
MySQL SQL tutorial for beginners
https://www.youtube.com/watch?v=7S_tz1z_5bA
This beginner-friendly course teaches you SQL from scratch.
Redis+
[英文] Developer Hub
https://redis.io/dev/
Get all the tutorials, learning paths, and more you need to start building—fast.
https://www.runoob.com/redis/redis-tutorial.html
REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统，是跨平台的非关系型数据库。
https://www.youtube.com/watch?v=jgpVdJB2sKQ
In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
中间件+
https://www.youtube.com/watch?v=1oWPUpMheGk
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
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.
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
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!
React+
[英文] Quick Start - React
https://react.dev/learn
This page will give you an introduction to 80% of the React concepts that you will use on a daily basis.
https://www.youtube.com/watch?v=SqcY0GlETPk
Master React 18 with TypeScript! ⚛️ Build amazing front-end apps with this beginner-friendly tutorial.
https://www.youtube.com/watch?v=x4rFhThSX04
Learn modern React basics in the most interactive, hands-on way possible in the full course for beginners.
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.
Pinecone+
https://www.pinecone.io/learn/
Start building knowledgeable AI today. Create your first index for free, then pay as you go when you're ready to scale.
https://www.youtube.com/watch?v=AGKY_Q3GjRc
Getting started with the Pinecone vector database, used for retrieval augmented generation, semantic search, recommendation, and much more.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
相关职位
社招3-5年网易云音乐
Part 1，后端开发： 1、负责数据产品后端的设计与实现，确保系统具备良好的架构设计、扩展性及高可用性； 2、根据系统设计，完成平台的开发、测试和线上维护工作，保障系统的稳定运行； 3、负责系统的服务端调优，持续提升系统性能和服务质量，并编写设计、开发、测试等相关文档，为团队提供清晰的技术指导。 Part 2，AI应用探索与开发： 1、参与AI技术在数据产品中的应用探索，包括但不限于自然语言处理、机器学习、深度学习等方向； 2、负责AI应用的后端开发工作，实现AI模型与现有数据产品的无缝对接； 3、与数科、算法紧密合作，将AI技术转化为实际的产品功能，提升数据产品的智能化水平； 4、跟踪AI领域的最新技术动态，结合业务需求，推动AI技术在数据产品中的创新应用。
更新于 2025-08-19
社招3年以上A56703
1、负责抖音生活服务商家平台智能化产品服务端研发工作，深度参与到AI应用场景研究，工程研发和产品设计等环节，推动AI产品落地； 2、参与商家平台AI经营助手产品的研发工作，以辅助、托管等形式帮助商家经营店铺，持续提升商家经营效率、增加经营收益； 3、设计和实现商家平台智能Agent系统，提升商家平台智能化水平，持续打造具备业务理解、任务规划、工具执行能力的智能化解决方案； 4、参与AI网关能力建设，包括Agent调度、排队、负载均衡、限流等基础能力，同时参与AI算法工程优化、推理加速等工作； 5、深入理解用户/客户的需求场景，驱动系统向更智能化、个性化、自适应的方向演进； 6、同产品、算法等团队紧密协作，共同探索大模型时代下B端产品的新范式与商业价值。
更新于 2025-06-24
社招4年以上核心本地商业-业
●负责服务端技术方案设计、需求把控及核心功能开发，细化拆解业务需求并且能够带领团队成员实施； ●参与产品架构规划设计、性能优化、故障排查和解决线上问题等工作； ●积极参与技术分享，技术学习，促进团队成员进步提升； ●协调驱动业务团队间的配合协作，能通过目标驱动大家完成任务； ●主导技术难题攻关，持续提升核心系统在高并发、海量请求数下的高处理性能，保证系统的安全、稳定、快速运行； ●技术驱动业务，推动业务&产品持续进步。
更新于 2025-06-22
社招3年以上核心本地商业-业
● 负责服务端技术方案设计、需求把控及核心功能开发，细化拆解业务需求并且能够带领团队成员实施； ● 参与产品架构规划设计、性能优化、故障排查和解决线上问题等工作； ● 积极参与技术分享，技术学习，促进团队成员进步提升； ● 协调驱动业务团队间的配合协作，能通过目标驱动大家完成任务； ● 主导技术难题攻关，持续提升核心系统在高并发、海量请求数下的高处理性能，保证系统的安全、稳定、快速运行； ● 根据复杂的业务场景，不断优化重构现有服务架构；围绕现有体系，探索构建智能服务体系平台的可行方案。
更新于 2025-06-09