This is a hands-on engineering role that sits with customers. The person embeds on-site for short, focused stints, builds working automations and custom integrations in the customer's own setup, and leaves them running in production. A strong candidate has solid backend or full-stack experience, is at ease with APIs and authentication, and can turn a messy business problem into a simple, workable design. Good judgment about when to build, simplify or push back matters as much as coding skill.
How it fits the AI era
Companies want AI agents and automations that run in real systems, and much of the work is connecting models to the tools and data a business already uses. AI can speed up drafting workflows, writing node code and exploring unfamiliar systems, so the engineer can move faster in each new environment. What stays human is earning trust with stakeholders, choosing which problem is worth solving, and deciding what should become a product feature instead of a one-off fix.
How it builds AI experience
The role offers regular practice building AI agent and automation workflows on n8n for large organizations across different industries. Each engagement shows how AI works in real enterprise setups, including the limits and the messy data. To prepare, try the platform, build a few workflows that mix AI steps with code and APIs, and share a screenshot of the first one as the company asks.
Worth showing
- Production integrations and APIs
- Customer-facing technical work
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About N8n
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Forward Deployed Engineer - EMEA in Berlin Arbeitgeber: present of AI
Adaptyv Bio ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, eine Finanzabteilung von Grund auf neu aufzubauen und dabei innovative Technologien zu nutzen. Mit einem flexiblen hybriden Arbeitsmodell in Lausanne fördern wir eine Kultur des Vertrauens und der Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen bieten, um Ihre Fähigkeiten in der Automatisierung und im Finanzmanagement weiterzuentwickeln. Hier haben Sie die Chance, an der Spitze der KI-gestützten Forschung zu arbeiten und einen echten Einfluss auf die Zukunft der Wissenschaft zu nehmen.
