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AI Engineer

Unlock employer Dubai, United Arab Emirates Posted: 30 Jun 2026

Financial

  • Estimate: $100k - $140k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.

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Key Responsibilities

  • Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models
  • Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel
  • Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations
  • Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases
  • Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services
  • Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy
  • Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions
  • Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics
  • Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment
  • Develop MCP (Model Context Protocol) server integrations to extend agent capabilities

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered
  • 2 or more years of hands-on experience building production AI systems or intelligent automation solutions
  • Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks
  • Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications
  • Experience with vector databases and semantic search implementations is strongly preferred
  • Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications
  • Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial
  • Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines

Location
Dubai Office

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