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Open nowPosted 206 days ago

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kaonai/index37 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI 运营kaonai/index · Beijing, Chinese Mainland
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  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 206 days ago

The posting

1、核心Prompt研发与优化: 结合业务场景与用户需求,主导设计、测试与迭代高质量的Preset(包括Prompt、System Prompt、模型参数配置等);针对推理模型与非推理模型的差异化特性,制定相应的提示策略,持续优化模型输出的准确性、相关性与创造性。 2、AI Agent与工作流设计: 深入理解并实践以Agent为核心的新范式,设计多步骤、多工具调用的自动化工作流;熟悉MCP、Skills、Harness等新兴协议,探索AI与外部工具、数据库、API的深度集成,推动业务场景的智能化升级。 模型能力探索与应用: 紧跟行业前沿,主动调研和评测新兴大语言模型(含开源与闭源),尤其关注多模态能力(图像、音频、视频理解与生成)及长上下文、Computer Use等新特性;探索其在角色扮演、智能对话、内容生成等场景下的应用潜力与边界。 3、知识体系构建与沉淀: 建立并维护公司级的Prompt知识库与资产库,系统性地沉淀优秀案例、工程方法论与最佳实践,赋能团队提升整体效率。 4、跨部门协同与项目推进: 与产品、算法、工程及设计团队紧密协作,深刻理解需求,确保AI能力精准转化为可落地的业务成果。在Agentic产品的迭代周期中,承担AI侧的需求对齐与验收工作。 5、AIGC数据分析与结果评估:对用户与模型的交互数据进行分析,建立评估指标体系,深入理解用户偏好;结合A/B测试与自动化评估框架(LLM-as-Judge等方法),量化不同策略的效果,为产品迭代提供数据支撑。

1、AI领域热情与深度思考: 对AIGC领域抱有浓厚兴趣,是主流AI产品(如ChatGPT/Claude/Cursor、Midjourney/Stable Diffusion、SillyTavern、Cherry Studio、Openclaw等)的深度用户,并有自己独到的见解和批判性思考。 2、卓越的逻辑与语言能力: 具备出色的逻辑思维、问题拆解能力和精湛的文字功底,能够将模糊、复杂的业务需求精准地转译为机器可理解、可执行的结构化指令。能够对比出不同模型的回复质量并给出定性分析。 3、扎实的技术理解力: 理解LLM的基本原理(含Transformer架构、RLHF、RAG等核心概念),熟悉Prompt Engineering的进阶技巧(如Chain-of-Thought、Few-shot、Self-consistency等);了解MCP协议、了解Skills原理、Function Calling / Tool Use机制,以及AI Agent的基本架构(规划、记忆、工具调用)。 4、出色的沟通与协作能力: 具备优秀的跨团队沟通、协调能力和项目管理意识,能够清晰、高效地与不同背景的同事协作,共同推动项目目标达成。

加分项 (Bonus Points) - 实践经验丰富: 有基于Dify、Coze或从0搭建或深度参与AI Agent/Chatbot应用的经验,或有丰富的对话机器人、虚拟角色调优经验。 - 数据分析达人: 能熟练使用SQL、Python(Pandas、NumPy)进行数据提取与分析,习惯用数据验证假设、驱动决策;了解LLM评估指标(如BLEU、Win Rate、LLM-as-Judge)者优先。 - 基本的编程知识:具备一定的编程基础和vibe coding能力,能借助Cursor、Claude并通过脚本(如Python)处理数据或调用API。

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