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Tencent Holdings · Shenzhen

# 光子 AI-大模型质量工程师-游戏方向

Shenzhen 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2078028283043299328)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 光子 AI-大模型质量工程师-游戏方向

## Job description

### 需求理解与测试范围界定
- 深入理解大模型业务需求、场景边界及变更诉求,参与梳理核心质量指标,完成需求拆解与测试范围界定,保障测试贴合业务目标；

### 测试设计与策略制定
- 设计覆盖正常 / 异常 / 边界 / 高并发的测试用例,梳理测试策略并落地执行计划;针对大模型特点挖掘专项测试维度；

### 专项测试执行
- 可支持 RL + agent 流程校验、链路质量、协议兼容、推理性能、模型效果等专项测试的设计与执行；

### 根因定位与质量闭环
- 对模型效果异常、链路失败、性能抖动等现象进行根因定位,识别关联性;协同研发、产品、运维团队跟进问题整改与闭环；

### 监控与数据工具化建设
- 设计大模型监控方案,通过上报数据分析快速识别测试环境与现网质量问题;推进质量数据与流程数据的采集、分析与可视化建设；

### AI 赋能测试提效
- 结合 AI 能力优化测试全流程,在测试范围评估、用例设计、脚本生成、报告生成和分析等环节落地应用,持续提升自动化 ROI。 Requirements 1.本科及以上学历,计算机、软件工程等相关专业； 2.3 年以上测试开发经验,有大模型测试相关执行经验； 3.了解大模型部署链路、服务架构,熟悉主流接口协议与基础测试工具,对 RL 有基础认知； 4.具备测试用例设计能力,掌握黑盒测试、性能测试、稳定性测试等方法论； 5.了解大模型基础效果评估指标； 6.良好的需求理解与沟通能力,能响应需求变更并调整测试执行。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2078028283043299328)

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