阿里巴巴阿里国际-Java 后端开发工程师-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.计算机相关专业统招本科及以上学历。 2.具备扎实的专业领域技能,在JAVA/数据领域有深入的研究,对分布式技术,高并发,大数据等领域框架和产品的原理有深入学习和研究。 3.掌握LLM核心原理及实践方法,在RAG/Prompt工程/向量化技术等应用层具备技术落地能力,熟悉Agent 架构设计和落地。 4. 热爱技术,深度使用各类 AI 工具提升研发效率和研发质量; 强烈的技术好奇心,持续追踪 AI工程化前沿动态,持续学习落地前沿技术。 5.沟通顺畅,主动思考,能独立分析和解决问题,具有团队合作意识。 加分项: 1.具备大型复杂 AI 项目落地经验,精通 AI Agent 架构或者数据处理和模型效果调优技术,具备大模型微调的能力。 2.具备搜索推荐领域的工程经验,对搜索排序和效果调优有实践经验。
工作职责
1、负责公司生态用工管理系统的后端开发,设计并实现高效、稳定、可扩展的Java服务。 2、参与系统架构设计,优化性能,保证服务的高可用性和容错性。 3、与前端团队协作,完成API接口开发,确保数据交互的准确性和安全性。 4、参与需求分析和代码评审,提出优化建议,提升系统质量和开发效率。 5、持续学习和引入新的技术,推动技术栈的升级和团队的技术进步。
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.
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
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
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.
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!
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.
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.
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