[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/)

Tencent Holdings · Beijing

# 混元Agent 后训练算法工程师（Red Team方向）（深圳/北京/上海）

Beijing 

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=2092600084561838080)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 混元Agent 后训练算法工程师（Red Team方向）（深圳/北京/上海）

## Job description

### Responsibilities
- 负责Agent 基模训练数据的质量检测与评测，制定并维护数据 schema、质检标准、流程与工具，保障进入训练环节的数据质量；
- 负责 SFT 训练班车的日常运维，保障训练任务的稳定调度、异常监控与快速恢复，持续提升训练流水线的稳定性与效率；
- 参与一系列数据实验（如数据配比实验、数据缩量提质实验、数据难度实验）的实验方案设计、执行训练、分析实验结果，并基于结论推动后续迭代；
- 主导内部工具链建设，开发数据质检、问题发现、评测分析等效率工具，提升团队整体研发效能；
- 与算法、数据、平台团队紧密协作，对数据、模型与系统进行对抗性质量挑战，主动发现并定位质量隐患与薄弱环节，打通从数据准备到训练产出的质量闭环。 Requirements
- 计算机、软件工程、数学等相关专业，具备扎实的计算机基础与数据结构、算法功底，有 OI、ACM 等信息学 / 算法竞赛经历者优先；
- 熟练掌握 Python，具备扎实的工程编程能力与良好的代码品味，能稳定输出可读、可维护、可测试的高质量代码，有大模型（LLM）数据、训练、评测相关工程经验者优先；
- 具备任务调度、服务运维或工具链开发相关经验，理解分布式训练与大规模数据处理的流程与挑战，有大型复杂系统设计与开发经验者优先；
- 责任心强，对质量与稳定性有执念，具备批判性思维，习惯主动挑战与质疑既有方案；
- 有 CTF 安全竞赛、红队测试或对抗性测试背景者优先。

## 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: Beijing[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2092600084561838080)

## More jobs at Tencent Holdings

### [3D动作游戏《狩》-后台开发-UE5 DS后台开发](https://jobs.opennash.com/companies/tencent-holdings/jobs/6d535d770b7d94786b5e/)

Beijing

### [AI infra研发工程师(北京/深圳)](https://jobs.opennash.com/companies/tencent-holdings/jobs/eda44bea14836b2b9952/)

Beijing

### [AI ⽹络集合通信库运营⼯程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/59f91606e7bdc470bf0b/)

Beijing

### [Aigc内容检测算法工程师（图像与视频方向）](https://jobs.opennash.com/companies/tencent-holdings/jobs/ca1cf721bb29a8df9bdf/)

Beijing

### [AI智能体评测高级工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/9312d7b2c30640f3f245/)

Beijing

## Similar jobs at other companies

### [Supervisor de Red](https://jobs.opennash.com/companies/sgs/jobs/c5b231f0210b34423389/)

SGS · Callao, Peru

### [Senior Penetration Tester/Red Team Operator](https://jobs.opennash.com/companies/ntt/jobs/bf7f6829d43fbf491bdc/)

NTT · Diegem, Belgium

### [Red Seal Heavy Duty Mechanic](https://jobs.opennash.com/companies/sandvik/jobs/d77b0c1efc3511950488/)

Sandvik 

### [Open Shift Admin - PaaS Platform / Red Hat](https://jobs.opennash.com/companies/ntt/jobs/21723a6b8f50013a2ce3/)

NTT · Mumbai, Mahārāshtra, India

### [RED Program 2026 – Engineering Track](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/f46bebf131c0bf35a7bc/)

Thermo Fisher Scientific · Ferentino, Frosinone, Italy

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)