智能技术-AI应用研发高级工程师（搜索工程）-北京

Inactive

Company Aidc

Focus Tech · Backend

Location 北京

Published August 18, 2026

岗位职责

"阿里巴巴国际数字商业集团的智能技术团队，负责阿里巴巴旗下多个国际化电商平台的搜索、推荐、广告、用增等技术。团队致力于将最前沿的AI技术与国际化电商业务问题深度结合，为用户打造更好更智能化的网上购物体验，同时赋能百万商家实现更高效的经营。选择加入我们意味着投身入于高速发展的国际化电商业务，一起打造最先进的AI技术以驱动全球电商业务发展。"

职位描述

参与阿里国际搜索重点项目的迭代开发，构建支持国际化业务的高性能、高稳定性搜索系统。
利用AI工具和大模型技术，优化搜索相关性、排序及个性化推荐能力，提升用户体验与业务效果。
横向支撑搜索整体架构演进，推动系统在可扩展性、容灾性及智能化方向的持续升级。
聚焦核心业务场景，结合Agent等前沿AI技术，推动AI能力在搜索领域的深度落地与规模化应用。
协同产品、算法与数据团队，从需求洞察到系统构建全流程参与，打造智能应用与工具，实现技术驱动业务增长的闭环。
Participate in the iteration and development of key search projects at Alibaba International, building high-performance and highly stable search systems that support global business operations.
Leverage AI tools and large models to optimize search relevance, ranking, and personalized recommendation capabilities, enhancing user experience and business outcomes.
Provide cross-functional support for the evolution of the overall search architecture, driving continuous improvements in scalability, fault tolerance, and intelligence.
Focus on core business scenarios and apply cutting-edge AI technologies such as Agents to deeply integrate and scale AI capabilities within search systems.
Collaborate with product, algorithm, and data teams across the full lifecycle—from requirement insight to system implementation—to develop intelligent applications and tools that close the loop on technology-driven business growth.

任职要求

本科及以上学历，计算机科学、人工智能、软件工程或相关专业。
具备扎实的搜索系统架构经验，熟悉倒排索引、向量检索、分布式系统等核心技术，有大规模搜索系统研发背景者优先。
拥有AI工程化落地经验，熟悉大模型应用、Agent框架或RAG等技术，能将AI能力有效融入搜索链路。
具备优秀的沟通与跨团队协作能力，能够高效推动复杂项目落地，并对技术价值转化有清晰认知。
对技术驱动业务增长有强烈热情，具备系统性思维和前瞻性视野，致力于推动智能搜索的规模化演进。
Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
Solid experience in search system architecture, with familiarity in inverted indexing, vector retrieval, distributed systems, and preferably a background in building large-scale search platforms.
Hands-on experience in AI engineering deployment, familiar with large language model applications, Agent frameworks, or RAG technologies, and capable of effectively integrating AI into search pipelines.
Excellent communication and cross-team collaboration skills, able to drive complex projects to completion efficiently, with a clear understanding of technology-to-value conversion.
Strong passion for technology-driven business growth, equipped with systematic thinking and forward-looking vision, committed to advancing the scalable evolution of intelligent search.

岗位职责

职位描述

参与阿里国际搜索重点项目的迭代开发，构建支持国际化业务的高性能、高稳定性搜索系统。

利用AI工具和大模型技术，优化搜索相关性、排序及个性化推荐能力，提升用户体验与业务效果。

横向支撑搜索整体架构演进，推动系统在可扩展性、容灾性及智能化方向的持续升级。

聚焦核心业务场景，结合Agent等前沿AI技术，推动AI能力在搜索领域的深度落地与规模化应用。

协同产品、算法与数据团队，从需求洞察到系统构建全流程参与，打造智能应用与工具，实现技术驱动业务增长的闭环。

Participate in the iteration and development of key search projects at Alibaba International, building high-performance and highly stable search systems that support global business operations.

Leverage AI tools and large models to optimize search relevance, ranking, and personalized recommendation capabilities, enhancing user experience and business outcomes.

Provide cross-functional support for the evolution of the overall search architecture, driving continuous improvements in scalability, fault tolerance, and intelligence.

Focus on core business scenarios and apply cutting-edge AI technologies such as Agents to deeply integrate and scale AI capabilities within search systems.

Collaborate with product, algorithm, and data teams across the full lifecycle—from requirement insight to system implementation—to develop intelligent applications and tools that close the loop on technology-driven business growth.

任职要求

本科及以上学历，计算机科学、人工智能、软件工程或相关专业。

具备扎实的搜索系统架构经验，熟悉倒排索引、向量检索、分布式系统等核心技术，有大规模搜索系统研发背景者优先。

拥有AI工程化落地经验，熟悉大模型应用、Agent框架或RAG等技术，能将AI能力有效融入搜索链路。

具备优秀的沟通与跨团队协作能力，能够高效推动复杂项目落地，并对技术价值转化有清晰认知。

对技术驱动业务增长有强烈热情，具备系统性思维和前瞻性视野，致力于推动智能搜索的规模化演进。

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, or a related field.

Solid experience in search system architecture, with familiarity in inverted indexing, vector retrieval, distributed systems, and preferably a background in building large-scale search platforms.

Hands-on experience in AI engineering deployment, familiar with large language model applications, Agent frameworks, or RAG technologies, and capable of effectively integrating AI into search pipelines.

Excellent communication and cross-team collaboration skills, able to drive complex projects to completion efficiently, with a clear understanding of technology-to-value conversion.

Strong passion for technology-driven business growth, equipped with systematic thinking and forward-looking vision, committed to advancing the scalable evolution of intelligent search.