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Open nowPosted 104 days ago

全栈开发专家

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now全栈开发专家agirobot/referral · Shanghai, Chinese Mainland
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on agirobot/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

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. agirobot/referral postings stay open a median of 1 days.

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 104 days ago

agirobot/referral median: 1 days open

The posting

  • 搭建平台端到端原型:任务下发 → Agent调度 → 技能执行 → 数据回写。
  • 完成大规模前线数据采集、存储管理,与垂类模型管理,
  • 实现技能编排画布后端引擎(行为树/状态机/工作流),支持自检、重试、异常中断。
  • 快速集成LLM/VLM做意图识别与感知,打通RAG知识查询管道。
  • 对接企业系统,设计、开发和完善下一代企业具身研发工具链。
  • 参与技术选型、CI/CD搭建,带领1~2人完成迭代交付。

1. 对机器人技术和提升研发效率充满热情,具备优秀的学习能力和自主驱动力,乐于解决工具链中的各类挑战。 2. 熟悉 AI Agent 工具链,具备 Skill、Workflow 等可视化工作流的搭建与编排经验,能够将 AI 能力集成到工具链中提升团队效率。 3. 精通 JavaScript/TypeScript,熟悉 React/Vue 等现代前端框架,具备构建复杂单页应用(SPA)的能力。 3. 熟悉 gRPC 框架及 Protocol Buffers (proto) 定义,能够基于 proto 定义的工具链数据和服务接口进行开发与调试。 5. 有完整的前端项目开发经验,对代码质量、用户体验有追求。有开源项目或参与过有一定用户量的项目者优先。 6. 对机器人系统有基本的理解和浓厚的兴趣,能够理解算法工程师的工作流程和痛点。

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  1. A CV for this posting

    Written against agirobot/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on agirobot/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    agirobot/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

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Live postings like this one

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We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

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