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Open nowPosted 38 days ago

高级 AI 框架工程师

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now高级 AI 框架工程师li/referral · Beijing, 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 li/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.

11.8% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 38 days ago

li/referral median: 1 days open

The posting

AgenticOS 设计开发，包括架构设计、能力管理（类 MCP）、调度执行、记忆管理、安全和隐私等，为 Agent 开发提供统一的技术底座。 基于主动交互理论，探索相关的技术架构和核心能力，为主动交互落地提供系统支持。 AI Native 软件开发流程建设，探索 7x24 小时自主工作的软件开发系统，涵盖需求澄清和管理（包括产品、设计、技术需求等）、设计和规划、编码和验证循环、与工效系统的集成等。交付系统、开发规范、度量指标等，推进团队开发方式的迁移。

10 年以上操作系统开发经验。精通 Linux/Android、iOS 等主流操作系统的关键设计和核心特性。有自研操作系统经验者优先。 熟悉 AI 和 Agent 设计开发。有 AI 专业背景或者算力优化、大型 Agent 设计开发经验者优先。 精通软件开发和架构设计，有大型软件设计经验者优先。 熟悉硬件架构和常见开发语言，包括 C/C++, Java/Kotlin, Rust 等。

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against li/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 li/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

    li/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.

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Before you press

Straight answers

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What if my background isn't good enough?

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.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
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