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Open nowPosted 191 days ago

2026校招-AI 开发工程师

shoplazza/8632955 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now2026校招-AI 开发工程师shoplazza/863295 · Shenzhen, Guangdong, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 191 days ago

The posting

1. 智能搭建 Agent 研发： 设计并实现基于大模型的 Low-Code Agent，实现通过自然语言自动生成页面结构、配置组件属性、编写业务逻辑脚本等核心功能。 2. RAG 与知识库建设： 构建面向低代码平台的 RAG 系统，通过检索平台文档、组件协议（Schema）和最佳实践案例，提升 AI 生成内容的准确性与合规性。 3. 复杂任务编排： 优化 Agent 的推理决策链（Planning），使其能处理“创建页面-配置数据源-绑定交互事件”等长链路复杂任务，并建立有效的兜底与纠错机制。 4. 工程化落地： 负责 AI 能力在低代码编辑器、SaaS 后台的工程化集成，持续优化接口延迟（Latency）与 Token 成本，提升最终用户的交互体验。 5. 前沿技术探索： 持续跟进 LLM + UI 生成（Screenshot-to-Code）、多模态理解、AI 自动修复 Bug 等前沿技术在建站领域的应用落地。

【核心基本功】 1. 学历背景： 本科及以上学历，计算机、人工智能或数学相关专业，具备极强的自驱力与快速学习能力。 2. 编程底蕴： 扎实的计算机基础，熟练掌握 Python（AI 应用开发）或 Node.js/TypeScript（利于理解低代码前端生态），具备良好的代码架构设计能力。 3. 大模型认知： 熟悉 LLM 应用开发（LangChain/LlamaIndex 等），理解 Prompt Engineering、Function Calling、上下文窗口管理及模型推理的基本原理。 4. 结构化思维： 能够理解 JSON Schema、抽象语法树（AST）或组件协议等结构化数据，这是实现 AI 与低代码平台打通的关键。 【加分项 / 进阶潜力】 1. 实战经验： 具备 RAG 或 Agent 系统开发经验，有处理过 LLM 生成内容不稳定（幻觉问题）的实际调优思路。 2. 前端视野： 了解 React 或 Vue 框架，对“代码生成”或“可视化搭建”有浓厚兴趣，能够从开发者视角思考 AI 工具的易用性。 3. 模型能力： 了解过微调（LoRA/SFT）或数据清洗流程，能在工程实践中判断何时该用 Prompt 解决，何时该用微调解决。 4. 极客精神： 活跃的 GitHub 贡献者，或在 AI 相关竞赛中取得过优异成绩，能证明自己在不确定领域快速攻克难题的能力。 5. 业务敏锐： 对 SaaS 建站、低代码平台、AI 提效有长期关注和独立见解者优先。

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