About n8n
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.
About the Role
As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive. You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product.
Responsibilities
- Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimization
- Integrate LLM APIs and embedding models for text-to-workflow and natural language code suggestions
- Design and iterate on prompts to improve model output and user experience
- Build internal tooling, evaluation benchmarks, and automated testing for AI components
- Collaborate closely with other engineers to ensure AI features are reliable, performant, and scalable
- Balance experimentation with impact: ship quickly while focusing on user value
- Stay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmap
Requirements
- 5+ years of experience building web-based products, ideally in B2B SaaS startups
- Strong fullstack development skills with TypeScript, Node.js, and API design
- Experience shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user value. We're looking for experience building end-to-end systems.
- Understanding of AI fundamentals: agent architectures, chat completion roles, embedding vectors, vector databases, and chunking strategies
- Hands-on experience with prompt engineering, embedding models, and vector stores
- A user-focused mindset: you care about delivering features that solve real problems
- A bias for shipping and learning - fast iteration is second nature to you
Bonus Points For
- Experience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systems
- Frontend experience using Vue or React
- Technical writing or documentation contributions, especially around developer tools or AI
- Experience with agent orchestration patterns and state management in multi-step AI systems
- Knowledge of code quality evaluation metrics and context optimization techniques