Staff LLM Interaction Engineer (Europe remote - TS/Vue/NodeJS)

About the role

As a Staff LLM Interaction Engineer at n8n, you'll architect and build AI-powered workflow automation capabilities that help both technical and non-technical users create reliable AI workflows. You'll work on the orchestration layer between users, workflows, and LLMs to make the product feel fast, helpful, and trustworthy.

What you'll do

• Architect and implement AI-assisted workflow building capabilities including creation, editing, and suggestions
• Design systems that provide LLMs with the right context: workflow state, user intent, constraints, and history
• Build tool-driven agent behavior with internal tool calling, output validation, mistake correction, and graceful recovery
• Develop evaluation benchmarks and automated testing for AI output quality
• Create fast iteration loops to experiment, measure, and improve while shipping changes quickly with confidence
• Collaborate closely with engineering, product, and design teams to deliver a polished Copilot experience
• Stay current with LLM advances and AI developer tools to bring practical improvements into the product

What you'll need

• 7+ years of experience building web-based products, ideally SaaS developer tooling
• Strong fullstack engineering skills in TypeScript/Node.js and API design
• Hands-on experience building complex AI-powered product features in production
• Experience building tool-using AI systems or agentic workflows such as coding agents, AI copilots, or assistant systems
• Strong understanding of making LLM outputs reliable through prompt design, context optimization, and managing constraints
• Experience building or using evaluation frameworks for LLM-based systems including benchmarks and regression tests
• Product mindset with deep care for user outcomes and bias for action with quick iteration

Nice to have

• Experience with developer tools that generate code or structured output
• Familiarity with agent orchestration patterns, state machines, or DAG-based systems
• Experience with AI reliability tooling including trace/debug pipelines and LLM observability
• Contributions to open-source AI tooling for evals, orchestration, or prompt management
• Experience with RAG systems and retrieval patterns

What they offer

• Competitive compensation and equity ownership
• 30 days vacation (Europe) or 20 vacation + 8 sick days (US) plus public holidays
• Health and wellness benefits according to local norms
• 401k with 4% match (US) or pension contributions (Europe)
• €1K annual learning budget for courses, books, events, or coaching
• Remote-first work environment with regular team off-sites