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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# 大模型应用算法工程师（LLM/Agent）

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/32618)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型应用算法工程师（LLM/Agent）

## Job description
- 负责大模型、Agent 等前沿 AI 技术在广告外投业务场景中的应用落地，面向广告创意自动化生产、广告自动化投放等方向，建设智能化算法能力；
- 负责广告创意生产相关算法建设，包括创意理解、素材理解、文案生成、图文/视频生成、创意质量评估等，提升广告创意生产效率和效果；
- 负责广告投放 Agent 能力建设，包括投放策略理解、任务规划、自动决策、反思与自我优化，提升广告投放效率和智能化水平；
- 跟进大模型、多模态生成、Agent、强化学习等技术进展，探索并推动新技术在广告创意生产和投放决策场景中的应用。
- 计算机、人工智能、机器学习、数学等相关专业硕士及以上学历；
- 具备扎实的机器学习、深度学习基础，熟悉大模型、生成式 AI、多模态模型或 Agent 相关技术；
- 熟悉 Prompt Engineering、RAG、工具调用、模型微调、模型评估等大模型应用常见技术方案；
- 具备良好的算法工程能力，熟悉 Python 及主流深度学习框架，具备较强的问题分析和工程落地能力；
- 对广告、推荐、增长、内容生成等业务有兴趣，能够结合业务目标设计可落地的算法方案。

### 加分项
- 有广告投放、推荐系统、搜索、增长算法相关经验者优先；
- 有 AIGC、图文/视频多模态理解、创意生成、文案生成等相关经验者优先；
- 有 LLM Agent、自动化决策系统、智能运营系统建设经验者优先；
- 有大模型微调、强化学习、模型评估体系建设经验者优先；
- 在机器学习、自然语言处理、多模态、推荐系统、计算广告等方向有顶会论文发表者优先，如 NeurIPS、ICML、ICLR、ACL、EMNLP、CVPR、ICCV、ECCV、KDD、WWW、SIGIR、RecSys、AAAI、IJCAI、CIKM 等。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/32618)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

## Similar jobs at other companies

### [【北斗实习】大模型应用算法工程师-【AI搜索 & Agent RL】](https://jobs.opennash.com/companies/meituan/jobs/49fc668476649aea1c2c/)

Meituan · 北京市

### [大模型应用算法工程师 - 商业分析智能体 (BA Agent)](https://jobs.opennash.com/companies/meituan/jobs/780118bb8f7945722095/)

Meituan · 北京市 +1 more

### [研究院-大模型应用算法工程师-杭州](https://jobs.opennash.com/companies/hikvision/jobs/49504efbcc7703087879/)

Hikvision · 浙江省杭州市

### [LLM & Agent Research Intern 108173](https://jobs.opennash.com/companies/tencent-holdings/jobs/fe51bd135e1586299909/)

Tencent Holdings · London

### [LLM Operations Engineer](https://jobs.opennash.com/companies/accenture/jobs/f74285a42150f2dcf8a3/)

Accenture 

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/)