Senior Agentic AI Engineer - United Arab Emirates - Mondia Group

    Mondia Group
    Mondia Group United Arab Emirates

    5 days ago

    د.إ300,000 - د.إ540,000 (AED) per year *
    Description

    Overview

    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.

    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 escape 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.

    Benefits

    Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.

    Qualifications

    • 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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    * This salary range is an estimation made by beBee
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Senior agentic ai engineer