Forward Deployed Engineer - EMEA

present of AI; Berlin; Hybrid; EUR 60,000 - 100,000; Full time

Job summary

This hands-on engineering role sits with customers, embedding on-site for short, focused stints to build automations and integrations in the customer's environment. A strong candidate has solid backend or full-stack experience and is comfortable with APIs and authentication, turning messy problems into simple, workable designs that remain production-ready.

The role emphasizes practical AI-enabled automation and integration work within real enterprise systems, delivering tangible value in diverse

Qualifications

• A strong candidate has solid backend or full-stack experience.
• Experience with APIs and authentication would be advantageous.

Responsibilities

• Hands-on engineering role that sits with customers, embedding on-site for short, focused stints, building automations and custom integrations in the customer's own setup, and leaving them running in production.

Job description

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.

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