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Open nowPosted 212 days ago

HR智能化（共享服务）

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowHR智能化（共享服务）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 212 days ago

li/referral median: 1 days open

The posting

1.业务洞察与分析：深入理解 HR 业务场景（如绩效管理、人才发展等），敏锐洞察用户痛点，探索并定义 AI Agent 在实际业务中的落地场景。 2.原型敏捷构建 (Vibe Coding)：熟练运用 AI 辅助编程工具（Vibe Coding），结合低代码/无代码平台，快速搭建和迭代 HR AI Agent 的原型（POC/MVP），高效验证业务价值。 3.场景抽象与智能体建设：深入提炼高频 HR 业务场景（如考勤、合同、离职、劳资等），结合 AI 平台能力，通过自然语言配置与调试，完成 Agent 的搭建与固化。配合团队丰富 Agent 工具箱体系，赋能业务人员成为“种子用户”，实现“人人皆可建 Agent”的规模化落地。 4.无边界协作与交付：不局限于传统的职能边界，以解决问题和最终交付为核心目标。与业务团队、技术支持紧密配合，推动 AI 解决方案从概念构想到落地跑通的全链路闭环。

1.数学、计算机、数据科学、人力资源或相关专业，对“HR + AI”的跨界融合有极高的热情。 2.AI 认知与工程感：具备扎实的生成式 AI 基础，熟悉 LLM、RAG、Agent 等核心概念。具备一定的工程体感和代码阅读能力（如 Python、JavaScript），能够通过 AI 辅助生成代码来完成数据处理或简单的接口调用。 3.逻辑严密与极度自驱：拥有清晰的结构化思维和强大的自我驱动力。不只是被动执行，而是能够主动思考、发现问题，并乐于为团队带来新的视角和创新想法。 4.业务体感与同理心：能够快速理解复杂的 HR 业务逻辑，具备优秀的用户同理心，始终坚持技术服务于业务痛点和真实需求。 5.成长型心态：对前沿科技保持极强的好奇心，乐于拥抱变化，能够在充满不确定性的探索期中享受“从 0 到 1”的创造过程。

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  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

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    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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