# Agentic AI Agent

> Mondia Group · Dubai, United Arab Emirates · Full-time · Posted 2026-10-13

**Workplace:** on_site

**Department:** Mondia Group

## Description

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.

-   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

## Apply

[Apply at Mondia Group](https://apply.workable.com/mondia-group/j/32C8616EC5/apply)

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