阿里巴巴日常实习生-AI研发工程师
实习兼职阿里巴巴日常实习生地点:杭州状态:招聘
任职要求
职位要求: 1、有AI应用或Agent实际落地经验:包括不限于RAG系统、多智能体编排、结合MCP、Skill等的Agent项目,有可展示的项目/实习成果者优先。 2、开源贡献或技…
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工作职责
职位描述: 1、参与风险数据AI native基础设施建设。 参与tools、记忆、知识、skills、subAgent和Agent整体AI native基础设施的构建。 满足风险数据生成和分析的AI native化。打造高性价比、高可用、先进性的阿里安全数据基座。 2、负责 AI Coding 后端服务的设计、开发与高可用部署,应对亿级数据处理、毫秒级响应、强一致性与数据安全等复杂技术难题,保障大规模线上服务的可靠运行。支撑data+AI 的AI智能能力。 3、引领技术创新与工程效能提升,主动追踪 AI 工程化、向量计算、实时数仓、智能调度等前沿技术趋势,推动先进技术在业务场景中的高效落地。
包括英文材料
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
MCP+
https://www.youtube.com/watch?v=eur8dUO9mvE
Unlock the secrets of MCP! 🚀 Dive into the world of Model Context Protocol and learn how to seamlessly connect AI agents to databases, APIs, and more. Roy Derks breaks down its components, from hosts to servers, and showcases real-world applications. Gain the knowledge to revolutionize your AI projects!
https://www.youtube.com/watch?v=L94WBLL0KjY
Let's talk about MCP or the Model Context Protocol.
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