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AI Engineer / AI Automation Architect

Enabler-S FZE LLCDubai, UAEYesterday
AED 3,000/month

Skills

Machine LearningDeep LearningPython

About This Role

About Us

Enabler-S FZE LLC is a premier global consultancy and technology advisory firm, empowering enterprises, investors, and institutions to transform, scale, and innovate across international markets — spanning the Americas, Europe, Africa, Asia, and the Middle East.

By combining strategic advisory, operational insight, and cutting-edge technology expertise, we help clients navigate complex business environments, implement digital solutions, and achieve sustainable growth.

As part of our next phase of growth, we are building AI-driven operational ecosystems designed to automate workflows, enhance productivity, and redefine how modern companies operate.

Job Summary

We are seeking a highly versatile and hands-on AI Engineer / AI Automation Architect who can design, develop, and deploy advanced AI-powered automation systems across multiple business departments.

This role is ideal for someone deeply experienced in AI agents, workflow automation, autonomous systems, and AI tool integration — with the ability to build scalable systems that significantly reduce manual operational dependency.

The ideal candidate is not just a developer, but an innovation-driven builder who understands how to leverage AI technologies to create highly efficient, semi-autonomous, and intelligent business operations.

Key Responsibilities

  • Design and deploy AI agents for various business functions including operations, sales, customer service, HR, marketing, reporting, and administration.
  • Build and manage intelligent workflow automations using platforms such as N8N, Claude, Manus, OpenAI APIs, and related AI ecosystems.
  • Develop multi-agent systems capable of handling complex operational tasks and decision-making workflows.
  • Integrate APIs, databases, CRMs, communication tools, and third-party applications into unified automation pipelines.
  • Create AI-powered internal assistants, copilots, dashboards, and reporting systems.
  • Optimize operational processes through automation and AI-driven execution.
  • Research, test, and implement emerging AI tools and frameworks to improve company-wide efficiency.
  • Collaborate with leadership to identify opportunities for automation and operational transformation.
  • Maintain and improve AI infrastructure, workflows, and automation architecture.

Mandatory Experience

Strong hands-on experience with:

· **Platforms:** N8N (or advanced enterprise equivalents), OpenAI / ChatGPT APIs, Claude / Anthropic APIs.

· **AI Concepts:** Autonomous Web Agents (e.g., Manus), Multi-Agent Architecture, and Advanced Prompt Engineering.

· **Core Integration:** Webhooks, REST APIs, JSON parsing, and system interoperability.

· **Mindset:** Proven track record with No-Code / Low-Code automation platforms paired with a code-capable foundation.

Experience

with one or more of the following is highly desirable:

· **Frameworks & Protocols:** LangChain, CrewAI, AutoGen, MCP (Model Context Protocol) Servers.

· **Development Ecosystem:** Python, Node.js, Docker, Cursor, Replit.

· **Data Architecture:** Pinecone, Supabase, Vector Databases, and Retrieval-Augmented Generation (RAG) systems.

· **Alternative Automation:** Make.com, Zapier.

Ideal Candidate Profile

The ideal candidate:

· **AI Passionate:** Deeply enthusiastic about the AI landscape; constantly experimenting with, breaking, and mastering new AI tools and workflows.

· **Dual-Minded:** Thinks strategically about high-level business logic while executing technical architecture rapidly and precisely.

· **Production-Focused:** Has proven experience building *stable*, production-ready automations rather than just fragile proofs-of-concept.

· **Autonomous & Scalable:** Capable of independently auditing manual corporate workflows and architecting them into scalable, automated processes.

What Success Looks Like

· **Workload Reduction:** A measurable drop in manual, repetitive operational tasks across key departments.

· **Velocity:** Drastically accelerated internal execution speeds and reduced human error through robust AI orchestration.

· **Intelligence:** Seamless, real-time, AI-driven reporting and self-managing workflow loops.

· **Scale:** A robust, future-proof AI infrastructure capable of supporting the consultancy's global market growth.

Application Requirements

  • To be considered, applicants should include:
  • Updated CV/Resume
  • Portfolio or GitHub profile
  • Examples of AI automations or agent systems built
  • List of AI tools/platforms used regularly
  • Case studies, demos, or Loom walkthroughs (preferred)
  • Applicants with demonstrated real-world AI automation experience will be prioritized.

Compensation

Competitive salary package based on experience, expertise, and project capabilities.

Pay: From AED3,000.00 per month

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