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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Trip.com Group jobs](https://jobs.opennash.com/companies/trip-group/) · [Search jobs](/search/)

Trip.com Group · Shanghai

# LLM算法工程师（2027届秋招）

Shanghai 

Listed on Trip.com Group’s official careers site. Posted September 15, 2026. Check that it is still open and apply there.
[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ036605&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / LLM算法工程师（2027届秋招）

## Job description

### 招聘对象

本、硕、博。

### 毕业时间

2026 年 9 月至 2027 年 8 月期间毕业（中国大陆以毕业证为准，非中国大陆地区以教育部学位认证为准）且最高学历毕业后无全职工作经验的学生。

### 你将会负责
- 打造旅游行业核心业务场景Agent；
- 语言/图像/语音视频等多模态的Agent评估能力建设；
- 参与多模态模型的后训练全流程的建设，包括不限于数据处理、SFT、RLHF等；
- 参与Agent记忆系统的设计和实现，保证Agent上下文的一致性，参与Agent注册管理能力的系统开发，实现Agent的灵活部署和高效管理。

### 我们期望你
- 具备扎实的数学和算法基础、熟悉Python/C++语言开发，熟悉Pytorch/Transformers 等开源框架；
- 有 Agent 落地实践经验，熟悉 Embedding/向量索引等常用知识库技术；
- 熟悉深度学习原理和基本模型，在计算机视觉、自然语言处理、多模态至少一个领域有项目经验和论文；
- 熟练使用LLamaFactory/Ms-swift/openrRLHF等框架，具备快速阅读和复现论文的能力，能够系统性分析训练结果并制定改进计划。

## At a glance
- Posted by the employer: Sep 15, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 34 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ036605&atsApiType=Moka)

## More jobs at Trip.com Group

### [-后端开发工程师-](https://jobs.opennash.com/companies/trip-group/jobs/3fd7aa67824d93394856/)

Shanghai

### [AI Agent工程师（酒店BU）](https://jobs.opennash.com/companies/trip-group/jobs/f1cc5f5708e062dd4138/)

Shanghai

### [AI Agent开发工程师](https://jobs.opennash.com/companies/trip-group/jobs/716999cc960252753f0c/)

Shanghai

### [AI Native 产品经理（线路规划·用户体验方向）](https://jobs.opennash.com/companies/trip-group/jobs/61e27b61f5f48d7fd410/)

Shanghai

### [AI Native 设计师](https://jobs.opennash.com/companies/trip-group/jobs/a5bbe7c88620bfd54ab4/)

Shanghai

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/)
