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Kuaishou Technology · Hangzhou

# 大模型应用Java实习生-【电商】

Hangzhou 

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/30428)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型应用Java实习生-【电商】

## Job description
- 负责大模型知识库的全链路建设与优化，包括文档解析、分块策略、向量检索、召回、重排等核心模块的工程实现；通过持续迭代提升知识库的准确率、召回率及易用性；
- 负责电商大模型数据平台的架构设计与开发，支撑数据采集、清洗加工、知识生产、语义检索、数据合成与模型蒸馏等全流程，产出覆盖模型训练与效果评测的高质量数据资产；
- 深入理解业务场景，联动上下游团队，提供端到端的知识库解决方案，助力业务目标达成；对典型业务流程与模式进行抽象封装，沉淀可复用组件，对外提供高可用、高稳定的服务；
- 负责大模型业务应用的设计与开发，涵盖知识库问答、智能助手等场景的工程落地，推动大模型能力在电商、运营等核心业务场景中的规模化应用；同时探索大模型在内部提效场景中的实践，包括会议助手、智能答疑等工作提效工具的建设。
- 本科及以上学历，计算机相关专业；Java 基础扎实，熟悉 IO、多线程、集合等核心机制，具备高并发、高性能分布式系统的设计与落地经验；
- 熟悉业内主流开源中间件（如Elasticsearch、Redis、Kafka等），能熟练使用并理解其底层原理与适用场景；
- 学习能力强，对前沿 AI 技术保持持续关注，对大模型相关技术栈（如RAG、LangChain、Prompt Engineering、向量数据库等）有一定了解或实践经验；
- 有主流大模型（如GPT、Claude、DeepSeek 等）的实际使用与集成经验，熟悉API调用、模型选型及效果评估；具备Vibe Coding实践经验，能够借助AI辅助编程工具显著提升开发效率者优先。

## 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: Hangzhou[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/30428)

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