AI Engineer – Production Systems & Automation

About the role

We are seeking an experienced AI Engineer to design, build, and own production‑grade systems powered by modern AI tools, automation platforms, databases, and intelligent agents. The role focuses on delivering reliable, secure, and scalable solutions rather than isolated prototypes.

Key responsibilities

• Design, implement, and maintain scalable database architectures using Supabase and MongoDB.
• Deploy and manage AI agents such as Openclaw, Hermes, and Cowork across multiple use cases.
• Build production‑ready applications and internal tools using AI‑assisted development workflows.
• Monitor system reliability, troubleshoot issues, and optimise performance as usage grows.
• Create and scale workflow automations with n8n, Make, and Zapier.
• Integrate third‑party APIs and connect systems across business functions (CRMs, ERPs, external platforms).
• Document technical workflows, integrations, and system dependencies clearly.
• Customize and extend CRM/ERP platforms to meet operational requirements.
• Collaborate with stakeholders to define requirements, test implementations, and deliver improvements.

Required profile

• Several years of hands‑on experience building and supporting production systems.
• Proven track record creating workflow automations with n8n, Make, or Zapier.
• Strong proficiency with AI coding tools such as Claude Code and Codex.
• Solid experience with Supabase and MongoDB database architecture.
• Practical experience deploying AI agents like Openclaw, Hermes, or Cowork.
• Demonstrable portfolio of shipped systems.

Required skills

• Supabase
• MongoDB
• n8n
• Make
• Zapier
• Claude Code
• Codex
• Openclaw
• Hermes
• Cowork
• Python
• Odoo
• ReactJS
• Node.js
• Vite
• Tailwind CSS
• API development
• CRM/ERP customization

What we offer

• Competitive salary: AED 6,000–8,000 per month.
• Work visa sponsorship and medical insurance.
• 30 days paid annual leave.
• Access to modern AI development tools and platforms.
• Opportunities for technical training and continuous learning.
• Fast‑moving, collaborative environment with ownership of meaningful projects.
• Company‑provided equipment.