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

n8n

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Location: Europe
Job Type: full-time
Salary: Unknown
Posted: January 31, 2026

Job Description

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 160 - 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 145k+ GitHub stars, making us one of the world’s Top 40 most popular projects
Been ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)
Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuation
And are grateful for our 94 eNPS score (most companies would call 70 excellent)

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

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.

You’ll work across the entire AI feature lifecycle:

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

n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

We can sponsor visas to Germany; for any other country, you need to have existing right to work.

Our company language is English.

Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.

Benefits

Competitive compensation 💸 – We offer fair and attractive pay.
Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 15 vacation days, 8 sick days, plus public holidays wherever you are.
Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.
Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!

* Country-specific details are provided in your contract.

🎯 Who is this job for?

This role is a strong fit for senior full-stack engineers who are excited about shipping real AI features into production, enjoy working with TypeScript, Node.js, and modern frontend frameworks, and want to turn LLM capabilities into tangible user value. It will appeal to builders who like fast iteration, product ownership, and experimentation, who are comfortable with prompt engineering, embeddings, and agent-style systems, and who want to work in a remote-first European team at the intersection of developer tools, automation, and applied AI.

💬 Potential Interview Questions

How do you architect an AI-powered feature like text-to-workflow using LLMs in a production system?
By integrating LLM APIs (e.g., OpenAI), defining clear prompt templates, managing context windows, and embedding domain-specific logic with fallback mechanisms for reliability.
What are embedding models and how do you use them with vector databases?
Embedding models convert text into vector representations. These vectors are stored in a vector database (like Pinecone or Weaviate) and used for similarity searches in retrieval-augmented generation (RAG) systems.
How do you handle prompt engineering to optimize LLM outputs in user-facing applications?
I iterate on prompt structure, include role-based instructions, add context examples, and use templating to control and fine-tune model behavior consistently.
What is your experience building with NestJS and how do you structure a scalable backend with it?
NestJS offers a modular architecture with decorators and dependency injection. I organize code by domain, use services for business logic, and middleware/guards for auth and validation.
How do you ensure fast iteration and safe deployment of AI features?
By using feature flags, continuous integration, prompt versioning, automatic testing frameworks, and experimentation frameworks like A/B testing.
Explain agent orchestration in multi-step AI systems.
Agents coordinate actions over multiple prompts and contexts. They can use memory/state management, tools for action execution, and decision logic to iteratively achieve goals.
How would you implement smart code suggestions in a fullstack TypeScript app?
By using a combination of code embeddings, user intent interpretation via LLMs, context extraction, and rendering suggestions in a lightweight frontend (e.g., Vue) editor.
What are chunking strategies and why are they important for LLM integration?
Chunking splits large text into meaningful parts to fit token limits of LLMs. Proper chunking maintains semantic coherence, improving retrieval and response quality.
How do you monitor and evaluate the quality of AI-generated results in production?
I implement evaluation pipelines using automated metrics (BLEU, ROUGE), human feedback collection (thumbs up/down), and logging prompts/responses for continuous tuning.
What’s your approach to integrating OpenAI APIs securely in a SaaS environment?
Use secure server-side API calls, obfuscate API keys, rate-limit requests, log usage for auditability, and monitor for anomalies or misuse.

📋 Job Summary

n8n is hiring a Senior AI Engineer (Remote, Europe) to build AI-powered features for its open-source workflow orchestration platform. In this role, you’ll design and ship end-to-end intelligent capabilities—like natural-language workflow creation, code generation, smart node suggestions, and workflow optimization—using TypeScript, Node.js, LLM APIs (OpenAI, Anthropic, etc.), embeddings, vector databases, and advanced prompt engineering. You should have 5+ years of experience building web-based products (ideally B2B SaaS), strong fullstack/API skills, and a track record of shipping AI features into production; experience with agent architectures, RAG, fine-tuning, and Vue/React is a plus. This is a highly product-focused, fast-iteration role where you’ll collaborate with engineering, product, and design, backed by a large OSS community and top-tier funding. Compensation is competitive and includes equity, generous vacation (e.g., 30 days in Europe), local health/pension benefits, €1K/year learning budget, unlimited AI tooling budget, OSS sponsorship funds, and fully remote work across Europe (visa sponsorship available for Germany).