Product Engineer

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

About the Role You'll be a Product Engineer for Kitaru, ZenML's new product that transforms agent traces into reliable evaluations. This role sits at the intersection of engineering and community—you'll ship features for agent builders while creating in public on X and GitHub, turning what you learn from the community directly into product decisions. You're a builder first, but you understand that invisible shipping is shipping that doesn't matter.
What You'll Do Build and ship product features on Kitaru (evals, replay, cohorts, DX) with strong taste and judgment about what's sharp versus theater.
Create in public on X and GitHub, posting, demoing, and engaging with the AI engineering community to surface signal that feeds back into the product.
Wear whatever hat the week demands—feature work, marketing motion, customer demos, or community engagement—whatever moves the needle.
Stay close to your ICP of AI agent builders, eval practitioners, and people working with LangGraph, Claude Code, and custom runtimes.
Close the loop between what you hear from the community and what you ship, ensuring no wall exists between build and distribution.
What We're Looking For Production experience building or evaluating agents in real systems.
Open-source contributions that people actually use.
Hands-on experience with agent frameworks, Python proficiency, and familiarity with evals and traces.
Strong design and DX instincts—you know what makes docs, APIs, and demos click.
Comfort with startup chaos and wearing multiple hats by necessity.
Experience building or working deeply with tooling.
Active presence in AI engineering communities (GitHub history, X engagement, or similar).

关于该职位 你将担任Kitaru的产品工程师，Kitaru是ZenML的新产品，将agent traces转化为可靠的评估。这个角色位于工程与社区的交汇处——你将为agent构建者交付功能，同时在X和GitHub上公开创作，将你从社区中学到的内容直接转化为产品决策。你首先是一名构建者，但你也明白，看不见的交付是无关紧要的交付。
你将做什么 在Kitaru上构建并交付产品功能（evals、replay、cohorts、DX），对什么是犀利与什么是作秀具备出色的品味和判断力。
在X和GitHub上公开创作，发布内容、进行演示，并与AI工程社区互动，以挖掘能够反馈到产品中的信号。
根据需要承担当周所需的任何角色——功能开发、营销动作、客户演示或社区互动——只要能推动进展。
贴近你的ICP，即AI agent构建者、eval实践者以及使用LangGraph、Claude Code和自定义运行时的人群。
打通你从社区听到的内容与你所交付内容之间的闭环，确保构建与分发之间不存在壁垒。
我们在寻找什么 在真实系统中构建或评估agents的生产经验。
人们实际在使用的开源贡献。
对agent框架的实操经验、Python熟练度，以及熟悉evals和traces。
出色的设计和DX直觉——你知道是什么让文档、API和演示真正打动人。
适应初创公司的混乱，并因需要而承担多种角色。
有构建工具或深入使用工具的经验。
在AI工程社区中有活跃存在（GitHub历史、X互动或类似）。

⚑ 岗位信息收录自公开招聘页（Clera），以雇主官网为准