阿里巴巴业务技术-AI应用研发工程师-首页&推荐
社招全职1年以上地点:杭州状态:招聘
任职要求
1. 人工智能、计算机、电子等相关专业本科及以上学历;1 年以上大模型 Agent 研发经验,有 Agent 项目成功落地案例。 2. 熟悉 Agent 核心概念与架构,Prompt、Skill、Harness、MCP,以及 memory、reasoning、tool orchestration 等模块,具备 AI 原生系统设计能力。 3. 熟悉 RAG 全链路,…
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工作职责
1、需求理解与归因:深入业务场景,利用数据挖掘与特征分析完成现象归因;精准识别高价值问题,将模糊的业务痛点转化为明确的 AI 解决目标。 2、架构设计:面向具体业务需求,设计 AI 原生系统架构;参与 Agent 系统核心模块的规划,包括记忆管理、推理策略与工具编排,兼顾架构的灵活性、可扩展性与工程可落地性。 3、知识与环境构建:搭建AI与现有业务系统的交互环境,涵盖 API 接入、RAG 知识库构建、记忆方案设计;持续优化召回质量与上下文注入策略,为模型提供准确、及时的执行环境与知识支撑。 4、核心能力实现:负责Agent关键模块的工程落地,实现意图识别、任务拆解与反思纠错闭环;封装标准化SDK/API服务,构建Agent观测体系,实现全链路追踪与多维归因分析。 5、系统迭代与演进:建立搭建自动化评测与回测机制,通过调优与Case分析不断收敛效果与性能提升的最优路径;沉淀方法论与可复用组件,推动 AI 能力从单点验证走向规模化落地。"
包括英文材料
学历+
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
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.
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
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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