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Open nowPosted 14 days ago

开发工程师-AI方向（香港/深圳）

tigertech/04396210 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now开发工程师-AI方向（香港/深圳）tigertech/043962 · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

11.5% 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. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 14 days ago

The posting

1.Agent 内核研发——任务编排、上下文与记忆管理、多 Agent 协作。你会直面这个领域的工程难题，比如：长任务跑到第 xx 步失败了怎么恢复？上下文爆了该丢什么？多Agent协作编排如何发挥最大的能力？ 2.AI 员工平台——多租户隔离、身份与权限模型、workspace 与记忆的绑定关系，把"AI 员工"从概念变成可部署的产品； 3.MCP、CLI、语义层建设——把公司几十个内部系统改造成 Agent 能理解、能调用的能力。你做的不是"接口调通"，是定义一套全公司都按它走的标准和规则； 4.模型网关——多模型路由、成本计量、灰度降级、内容安全，在真实高并发流量里理解什么叫"生产级"； 4.评测与可观测——用数据而不是感觉，回答"这个 Agent 到底靠不靠谱"，如何让Agent在生产环境下越用越聪明，如何让AI完成自我进化和迭代

你会获得 1.导师制：从 0 到 1 把平台搭起来的资深老鸟，带领你快速成长，学会如何独当一面 2.第一年就上生产：入职 3 个月内你会有模块进入线上，被上千人使用 3.技术纵深：多个前沿方向，一年内可深度参与至少1-2个，找到自己的主攻点

1.2027届本科及以上，计算机、软件工程、人工智能等相关专业； 2.编程功底扎实，Python / Go / Java 至少精通一门，理解基本的分布式系统概念； 3.有真正动手做过的 AI 项目——一个能跑起来的 Agent、一次认真的开源 PR、一段有产出的实习。 4.不满足于"调 API 出效果"，会追问背后的原理：为什么失败、怎么恢复、怎么衡量好坏； 5.讲得清楚、扛得住追问——你会直接和多个业务团队对接技术方案。

加分项：Agent / RAG / Multi-Agent 实战经验；了解 MCP、A2A 协议或自己实现过工具调用机制；接触过知识图谱、本体建模、语义检索；AI 黑客马拉松、ACM / Kaggle 竞赛获奖；有开源贡献或技术博客。

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