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Agentic AI Agent

Unlock employer Dubai, United Arab Emirates Direct to Company 1 hour ago · 13 Oct 2026

Financial

  • Estimate: $80k - $150k*
  • Zero income tax location

Accessibility

  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Role
Be part of shaping how AI transforms how we work. You’ll scout emerging AI technologies, pilot new tools, and coordinate cross-departmental adoption projects. A key focus will be managing and enhancing our internal Knowledge Hub — ensuring information flows seamlessly and employees can leverage AI to its fullest.

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Responsibilities

  • Design and implement agentic architectures — multi-step planners, ReAct loops, tool-use orchestration, and memory systems
  • Build reliable agent pipelines that handle ambiguity, recover from failures, and know when to escalate to humans
  • Integrate LLMs (Claude, GPT, open-source models) with external tools, APIs, databases, and enterprise systems
  • Develop evaluation frameworks to measure agent reliability, accuracy, cost, and latency in production
  • Implement guardrails, safety layers, and human-in-the-loop controls for autonomous systems
  • Optimize for real-world constraints: token costs, latency budgets, rate limits, and context window management
  • Collaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolio
  • Contribute to internal tooling and frameworks that accelerate agent development across the organization

Requirements

  • 5+ years of software engineering experience, with at least 1-2 years focused on LLM-based systems
  • Hands-on experience building agentic systems — not just prompt engineering, but orchestration, tool use, and state management
  • Strong proficiency in Python; familiarity with TypeScript is a plus
  • Deep understanding of LLM APIs (Claude, OpenAI, etc.), including function calling, structured outputs, and streaming
  • Experience with at least one agent framework (LangGraph, CrewAI, AutoGen, custom frameworks)
  • Solid software engineering fundamentals: testing, CI/CD, observability, version control
  • Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and retrieval systems
  • Experience with MCP (Model Context Protocol) or similar tool-integration standards
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