Sr AI Engineer | Remote - Europe | TS/Vue/NodeJS

The AI orchestration of your wildest imagination.

n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.

Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:

Cultivated a community of more than 650,000 active developers and builders

Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects

Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation

That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register .

We’re in a defining moment of an incredible journey. Come and build with us.

🎯 Your main goal will be to build the evaluation, reliability, and trust foundations that help n8n and its customers use AI-powered workflows with confidence.

You’ll join the AI Trust team, focused on giving both customers and internal teams confidence in the AI features n8n is building. Today, that means designing and improving evals, benchmarks, observability, and quality feedback loops for AI-powered workflows and agents. Over time, it will also create the foundation for broader Trust capabilities such as auditability, governance, explainability, and safer production AI systems.

BUILD AND OWN AI EVALUATIONS

Build and improve on the internal n8n eval platform and eval harnesses supporting AI-powered features and agents.

Implement the tools needed to define measurable signals for quality, correctness, reliability, regressions, and user value.

Establish repeatable evaluation approaches that can be used by multiple teams throughout the AI feature development lifecycle.

IMPROVE AI SYSTEMS AFTER LAUNCH

The AI trust team’s evals platform and harnesses allows n8n engineering teams to:

Monitor and understand how AI features behave in production and use evaluation results to identify regressions, failure modes, and opportunities for improvement.

Use quality signals to determine whether improvements should come from prompts, models, datasets, product flows, or instrumentation.

Evolve shipped AI features over time, including updating models and validating whether changes actually improve the user experience.

BUILD AI TRUST FOUNDATIONS

Create tooling that helps teams inspect AI behaviour, understand quality trends, and confidently evaluate changes before and after release.

Work with tracing and evaluation tools to improve visibility into complex AI and agent behaviour.

Contribute to emerging Trust capabilities including observability, audibility, governance, explainability, reliability, and safety.

ADVANCE HOW N8N EVALUATES AI