
同花顺Java开发工程师-基金
校招全职研发技术类地点:杭州状态:招聘
任职要求
1、985/211高校计算机相关专业硕士在读,2026年毕业 2、扎实的Java编程能力,熟悉Spring Boot/Cloud微服务架构开发 3 、具备以下AI工程经验优先: - RAG技术实践:使用过LangChain/LLamaIndex等框架构建检索增强系统 - Agent开发:参与过对…
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工作职责
1、开发AI驱动的基金交易核心系统,构建支持动态扩容的分布式架构,处理亿级并发交易请求 2、参与智能清算系统开发,结合机器学习算法优化千亿级资金数据的分布式计算与核对效率 3、搭建基于AI的实时行情预测接口,整合市场数据特征工程与深度学习模型推理服务 4、开发智能任务调度系统,运用强化学习优化分布式TA系统的资源分配与任务编排 5、构建交易风险AI监控模块,实现异常交易模式检测与自动化预警
包括英文材料
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.
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.
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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