腾讯AI前线部署工程师FDE
社招全职3年以上腾讯云产品地点：武汉状态：招聘
工作描述
任职要求 1.本科及以上，计算机/AI/数学/物理等工程相关专业，3年以上ToB项目交付/客户支撑经验，2年以上大模型（LLM/Agent）深度应用经验，特别优秀者可放宽年限； 2.独立开发过至少2个完整的AI Agent应用（熟悉ReAct/Plan-and-Execute等Agent架构），独立构建过至少1个生产级RAG知识库系统； 3.精通Python，精通LangChain/LlamaIndex/Dify等主流AI开发框架，熟悉Agent编排和Skills； 4.熟悉大模型API调用、Prompt工程、模型微调、效果评估与选型策略；熟悉Docker/K8s、向量数据库（Milvus/ES等）、公有云平台（腾讯云优先）； 5.深入使用国内外的 AI codin…
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包括英文材料
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.
React+
[英文] Quick Start - React
https://react.dev/learn
This page will give you an introduction to 80% of the React concepts that you will use on a daily basis.
https://www.youtube.com/watch?v=SqcY0GlETPk
Master React 18 with TypeScript! ⚛️ Build amazing front-end apps with this beginner-friendly tutorial.
https://www.youtube.com/watch?v=x4rFhThSX04
Learn modern React basics in the most interactive, hands-on way possible in the full course for beginners.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
LlamaIndex+
https://developers.llamaindex.ai/python/framework/getting_started/starter_example/
This tutorial will show you how to get started building agents with LlamaIndex.
https://www.ibm.com/think/tutorials/llamaindex-rag
LlamaIndex is a powerful open source framework that simplifies the process of building RAG pipelines.
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