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Open nowPosted 8 hours ago

Canvas Agent全栈开发实习生

a9ihi0un9c/2142289 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowCanvas Agent全栈开发实习生a9ihi0un9c/214228 · Beijing, Chinese Mainland

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Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 8 hours ago

The posting

职位描述 Tripo 致力于用 AI 降低 3D 内容创作的门槛。我们正在打造 Canvas，将 AI Agent 与可视化创作工作台结合，让用户通过自然语言表达想法，由 Agent 调用工具、执行任务，并围绕生成结果持续创作。 我们希望找到一位前端基础扎实、对 Agent 产品有兴趣、能够交付完整功能的工程师，一起探索 AI 驱动的 3D 创作体验。 你将参与什么 构建 Agent 交互体验： 开发对话与画布联动、流式反馈、工具调用展示、任务进度和结果交互，让用户看得懂、能干预 Agent 的执行过程。 开发 Agent 工作流： 接入模型与创作工具，参与上下文管理、工具调用、多步骤任务执行与失败恢复，让 Agent 能够完成实际创作任务。 完成前后端交付： 从前端界面到 API、数据存储与异步任务，推动功能上线，并持续优化体验、性能与稳定性。 验证并改进效果： 根据真实使用反馈，排查 Agent 执行中的问题，完善测试与评估，提升任务完成质量。

职位要求 熟悉 JavaScript / TypeScript，熟练使用 React、Vue 等至少一种框架，能够独立实现复杂交互，合理组织状态与数据流。 掌握 Node.js、Python、Go 等至少一种后端技术，能够开发 API，并完成基本的数据建模与存储。 有 LLM API 或 Agent 项目实践，理解工具调用、上下文管理、流式响应等基本机制，能够定位和调试执行问题。 关注用户体验，愿意探索如何让 Agent 的能力、执行状态与操作边界更容易被用户理解。 有主动推进问题的能力，能够与产品、设计、算法同事协作，完成从原型到上线的迭代。 加分项 做过 Agent 产品，实践过任务编排、执行追踪、评估或人工介入机制。 开发过画布、编辑器、流程编排等复杂交互工具。 接触过 Three.js、WebGL 或 3D 创作工具。 独立上线过有人实际使用的产品，或有开源贡献。 投递时，欢迎附上作品、GitHub 或演示视频，并介绍一个你做过的 Agent 或复杂交互项目：解决了什么问题、你负责什么，以及如何验证效果

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