
Java Software Engineer
2 weeks ago
Job Responsibilities
- Participate in product requirements analysis and design of core modules for credit process and application products.
- Responsible for developing core system modules and technical documentation, continuously improving system maintainability, scalability, and performance.
Troubleshoot and diagnose issues in production, resolve and implement long-term fixes, preventing downtime or regressions.
参与信贷流程和APP产品项目的需求分析和关键模块的详细设计
- 负责系统重要模块的开发及相应技术文档的编写,持续提升系统易维护性、可扩展性和性能
- 负责缺陷和故障的排查和处理,保障线上系统的安全稳定运行
Required Qualifications
- Bachelor's degree or higher in Computer Science or a related field.
- 3-5 years of experience as a Java developer.
- Experience in product requirements review, functional module design, coding and testing to ensure high-quality deployment and timely progress.
- Strong hands-on experience using Spring Boot, Spring Cloud, MyBatis, RabbitMQ, RocketMQ, and MongoDB.
- Experience in MySQL and Redis database usage and optimization.
- Proficient in using ZK, Kafka, and Nacos.
- Familiar with HTTP protocols and able to develop interfaces according to RESTful specifications.
- Familiar with continuous integration and containerization technologies, such as Jenkins, Docker, and Kubernetes.
- Familiar with LLMs optimization using Prompt Engineering, RAG, Agent, and SFT, and proficient in language model integration frameworks like LangChain and LlamaIndex.
- Familiar with common AI development tools (e.g., PyTorch, TensorFlow) and basic inference engines (e.g., vLLM, TensorRT-LLM).
- Good object-oriented programming analysis and design abilities.
Passionate about latest technology, with a continuous learning mindset and good communication skills.
计算机相关专业全日制本科及以上
- 拥有 3-5 年Java后端工作经验
- 根据产品需求参与需求评审、功能模块设计、编码实现、自测等, 并确保开发质量量与进度
- 具备Spring Boot, Spring Cloud, MyBatis, RabbitMQ, RocketMQ, MongoDB 等技术栈项目实践经验
- 具备MySQL, Redis数据库使用和调优经验
- 掌握中间件 ZK, Kafka, Nacos 的使用及开发
- 熟悉 HTTP 等网络应用协议, 能根据 RESTful 规范开发接口
- 熟悉持续集成/容器服务相关技术, 如Jenkins, Docker, Kubernetes等
- 熟悉基本的大模型应用技术 Prompt Engineering, RAG, Agent, SFT 等工作原理, 熟练使用 LangChain,LlamaIndex 等大模型应用框架
- 熟悉常用 AI 开发工具, 例如:PyTorch, TensorFlow 等, 基本的推理引擎, 例如:vLLM, TensorRT-LLM 等
- 具有良好的面向对象程序分析设计能力和经验
- 有技术热情, 具备持续学习能力以及良好的沟通协调能力
Preferred Experience
- Familiar with the credit business domain and possesses fundamental industry knowledge.
- Experience working in the fintech or banking sectors is a plus.
Candidates with practical implementation cases of LLMs in the financial sector.
熟悉信贷业务领域,具备行业基本常识
- 有互金或银行 一线互联网行业相关工作经历优先
- 对技术创新保持热情,有 LLM 在金融领域的实际落地案例的优先
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