前向部署工程师
Forward Deployed Engineer
职位基本要求
我们正在寻找一名前进部署工程师（m/f/d），加入我们作为嵌入式技术专家，帮助客户从“对AI感兴趣”转变为在生产环境中运行真正的代理工作流。
这是一个需要动手编码的角色，而不是咨询类角色。你将直接在客户的环境中工作——了解他们的领域、数据以及对他们重要的业务成果，并利用MCP、技能和我们的代理平台构建实现这些成果的代理用例。你还需要具备对Kubernetes的基本理解，因为我们的平台是基于它构建和运行的，但这是你工作的基础，而不是该职位的重点。
Giant Swarm是一个快速发展的开源基础设施管理平台，被现代企业所使用。我们的愿景是赋能全球开发者打造优秀的产品——这个职位是我们在代理平台方面实现这一目标的核心。
你的职责
- 作为客户的嵌入式专家与他们直接合作——不仅仅是提供建议，而是设计、构建并交付他们在其环境中可用的代理解决方案。
- 快速了解新客户的领域（例如智能制造、金融服务等），并识别AI/代理工作流可以为他们实际带来的业务成果。
- 使用MCP、技能和我们的代理平台，为客户的数据和系统定制开发原型和可投入生产的代理工作流。
- 作为客户侧对我们代理平台能力的专家——将平台功能转化为他们的工程师可以实际使用和扩展的内容。
- 与客户工程团队紧密合作——包括一些开发支持类的培训、研讨会和配对协作，以便他们在你离开后能够自主维护你所构建的内容。
- 将你发现的模式和缺口反馈给产品团队，影响我们接下来要构建的内容。
- 你可能需要支持售前沟通——帮助评估哪些AI用例能为客户带来价值，并构建示例以说明选择Giant Swarm的优势。
任职要求
- 你在面向客户的工程技术岗位上有实际的动手经验（如解决方案架构师、前进部署工程师或类似职位）。
- 你有实际的动手经验，使用代理AI进行开发——包括MCP、代理框架、使用工具的LLM或其他类似技术。这一点是不可妥协的。
- 你能在不熟悉的业务领域中快速上手，并将所学内容转化为实际成果。
查看英文原文
The Basics
We are looking for a Forward Deployed Engineer (m/f/d) to join us as the embedded technical expert who takes our customers from "interested in AI" to running real agentic workflows in production.
This is a hands-on, code-shipping role, not an advisory one. You'll work directly inside a customer's environment - understanding their domain, their data, and the business outcomes that matter to them - and build the agentic use cases (using MCPs, skills, and our agent platform) that make those outcomes real. You'll also bring a working understanding of Kubernetes, since our platform is built and operated on it, but that's the foundation you stand on, not the focus of the role.
Giant Swarm is a fast-growing open-source infrastructure management platform used by modern enterprises. Our vision is to empower developers around the world to ship great products - this role is core to how we do that with our agent platform.
Your Job
- You partner directly with a customer as their embedded expert - not just advising, but designing, building, and shipping working agentic solutions in their environment.
- You get up to speed on a new customer's domain quickly (e.g. smart manufacturing, financial services, whatever it is) and identify the business outcomes AI/agentic workflows can realistically deliver for them.
- You design and build proof-of-concepts and production-track agentic workflows using MCPs, skills, and our agent platform, tailored to that customer's data and systems.
- You act as the customer-side expert on what our agent platform can do - translating platform capability into something their engineers can actually use and extend.
- You work closely with customer engineering teams - some devrel-style enablement, workshops, and pairing so they can own what you build after you move on.
- You feed the patterns and gaps you find back to the product team, shaping what we build next.
- You may support pre-sales conversations - helping scope what AI use cases would deliver value for a prospect, and building examples that help make the case for choosing Giant Swarm.
Requirements
- You have practical, hands-on experience in a customer-facing technical role (Solutions Architect, Forward Deployed Engineer, or similar).
- You have real, hands-on experience building with agentic AI - MCPs, agent frameworks, tool-using LLMs, or similar. This is non-negotiable.
- You can get productive in an unfamiliar business domain fast, and turn what you learn into concrete technical solutions.
- You have at least a solid working understanding of Kubernetes and cloud-native operations.
- You communicate clearly and confidently with both customer stakeholders and engineers - this role lives at that interface.
- Experience with developer relations, workshops, or technical enablement is a strong plus, as is prior Solutions Architect experience.
- You're comfortable with ambiguity - this is our first hire fully dedicated to agentic customer work, so a lot of the "how" is still being defined as you go.
- You are able to comfortably align parts of your workday with Europe (UTC +/- 2 hours).
Salary Information
_We’re a fully remote company and use a formula-based salary calculator to determine starting salaries, factoring in location, experience, and responsibility. This approach helps us avoid pay gaps (e.g., gender pay gap) by basing compensation on objective criteria rather than negotiation. Because we apply a location factor, the actual figure for hires outside Cologne will differ from the reference range above, and the total package may include components beyond base salary (e.g., equity, benefits). We’re publishing this range to comply with the EU Pay Transparency Directive. Your recruiter will walk you through how the calculator applies to your location and level._
Salary Range: €60,000 - €90,000
About us
Every new team member changes the team. We love to learn from each other and we are looking for people who know things we don’t.
- Becoming part of Giant Swarm means that, by extension, you also become part of the Cloud Native community. We actively contribute to upstream projects and our quarterly hackathons will give you space to work on out-of-the-box projects. Occasionally, when we, as a team, want to fully focus on one project, we scratch all meetings and routines for a certain time to better focus during our [hive-sprints](https://www.giantswarm.io/blog/climbing-mount-everest-with-cluster-api-giant-swarm).
- Continuous learning is important to us - we foster this through bi-yearly personal development talks, a budget for training/certifications/coaching as well as regular feedback talks and workshops. Our teams are cross- functional and collaboration is key.
- Nothing crazy, but useful Basics: We currently operate on a 32 hour workweek (or 4 day workweek, you decide!). We don't count holidays but set a minimum number; You choose your own hard- and software; As a company that has almost, if not more, kids than employees, family-friendliness is crucial to us and paid parental leave is a no-brainer; We pay monthly perks that cover your costs for working remotely; We meet twice a year as an entire company and (if possible) see conferences as an important place to catch up with team members; We aim to be fully transparent (finance, salaries) unless it hurts people and trust you, based on this to make the best decisions
- A note on the use of AI in our hiring process: real people read every application, no AI screening, no automated filters. We build tools, we use tools, we get excited about tools. We also know better than most that the best ones change what’s possible. What we’re looking for is how you really think, what you’ve built, and how you see the world. Using AI is fine - just don't miss the chance to let us get to know **you**. After all, humans are way more fun to meet at our onsites!
We failed in exactly describing our way to approach important company elements that can be described with ‘buzzwords’ such as agile mindset, cross-functional teams, self-organization, value of the individual or trust & teamwork. However, we truly care about them, we live them and we constantly iterate on them. Some snippets about how we do this are posted in our [blog](https://www.giantswarm.io/blog) but by far not all of them.
Important note: We are not hiring job descriptions. We hire humans. :) We welcome applications from everybody, regardless ethnic or national origin, religion, gender identity, sexual orientation or age. When you apply for a role at Giant Swarm, we will also consider you for other relevant roles, or ones that may come up in future if this one isn't a good fit at this time.