# 顶尖应届-工程优化工程师- 相机

External opening: you cannot apply through AI Native Match; apply on the official site.

Apply through the official channel. The full external receipt stays in your workspace. When signed in, three minimal event types explicitly recorded through the CLI are reported by default: selection, self-reported application and channel observation. Browsing or saving a role does not report an event; external applications do not appear under My applications.

- Company: 小米 (Stage unknown)
- Locations: 北京
- Role: Engineering
- Apply on the official site: https://xiaomi.jobs.f.mioffice.cn/toptalent/position/7646709242694879524/detail

## Role description from source

1、研发智能分析系统，集成大模型和RAG技术，实现问题自动分类和解决方案推荐；
2、构建测试自动化中台，开发并行测试调度、设备资源管理和结果聚合分析系统；
3、设计AI代码审查引擎，实现代码规范检查、安全漏洞检测和自动修复建议生成；
4、建立工程效能数据中台，开发数据采集、存储、分析和可视化全链路系统；
5、持续优化AI算法模型，提升各系统准确率和用户体验。
任职要求
1、硕士及以上学历，计算机科学、软件工程、人工智能相关专业，具备AI工程化实践经验；
2、精通Python/Java开发，熟悉Spring Boot/FastAPI等后端框架，具有大规模系统架构设计能力；
3、掌握大模型应用开发，熟悉RAG、Agent等AI技术，具有LLM应用项目实践经验；
4、熟悉软件工程全流程，了解CI/CD、自动化测试、代码审查等研发工具链；
5、具备数据中台建设经验，熟悉数据采集、存储、分析和可视化技术栈；
6、具有优秀的沟通协调能力和团队合作精神，能够快速学习新技术。
接口顶部原始条件（未做资格推断）
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---
opening_id: 0c3db03e-0b47-4311-8124-51e1687d08b7

`anm openings save --id 0c3db03e-0b47-4311-8124-51e1687d08b7`