Senior N8n & Vibecoding AI Engineer

C1/C2 or NATIVE ENGLISH REQUIRED.

Working hours: 9:00 to 17:30 Central European Time.

Schedule: Full Time, 8.5 hours per day, including a 0.5 hour break

About us:

RaveIntelligence is an AI automation and consulting agency in the UAE, working with english speaking European and American clients worldwide. We are actively expanding our team, looking for new engineers and managers for remote only roles.

About the role:

We are looking to hire an experienced senior n8n & vibecoding AI engineer focused on automation and integrations. You will work across frontend, backend, and workflow automation, building and maintaining systems used in production environments.

Key responsibilities:

Build and maintain n8n automations.

Build and maintain AI chat agents in n8n with diverse tools and integrated systems.

Develop and optimize workflows in n8n.

Connect workflows to dashboards and internal tools for clients.

Integrate third-party APIs and webhooks quickly and reliably

Maintain and deploy services with Docker in production environments

Work with databases like PostgreSQL or similar.

Work with LLMs and AI providers (OpenAI, Anthropic, etc.) to build AI agents and tools.

Debug issues across the stack: frontend, backend, n8n workflows, webhooks, and infrastructure.

Collaborate with team members to ship fast and effective solutions.

Required:

Native level English communication, especially spoken English for daily calls and coordination, plus solid written English for documentation and async collaboration.

Solid skills using vibecoding IDE’s like Cursor.

Full mastery of n8n.

Strong API integration skills (authentication, pagination, rate limits, retries).

Docker/Portainer fundamentals for local development and production deployment.

PostgreSQL or equivalent relational database experience.

Git and GitHub.

Comfortable working in Linux based environments and CLI.

Recommended:

Experience with CRM APIs such as GoHighLevel, Hubspot or similar.

Experience with project management tools like ClickUp.

Experience with ClickUp API.

Experience with AI voice tools such as Retell, Vapi or Voiceflow.

Experience with LLMs in production: prompt design, function calling, RAG, vector databases (PostgreSQL pgvector) inside n8n.

Experience with Redis queues inside n8n.

Basic understanding of monitoring and error tracking.