Agentic AI Agent

Mondia Media; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

Mondia Media seeks an experienced software engineer to drive AI-powered automation across the organization. You will scout emerging AI technologies, pilot new tools, and coordinate cross‑departmental adoption, enhancing our Knowledge Hub for maximum AI utility.

You will design agentic architectures, multi‑step planners, and memory systems, integrating LLMs with external tools and enterprise systems. Build reliable pipelines, evaluate performance, and implement guardrails with human‑in‑the‑loop

Qualifications

• 5+ years of software engineering experience, with 1–2 years focused on LLM-based systems.
• Hands-on experience building agentic systems, including 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 and streaming.
• Experience with at least one agent framework (LangGraph, CrewAI, AutoGen, or similar).

Responsibilities

• Scout emerging AI technologies and pilot new tools across departments.
• Design agentic architectures, multi-step planners, ReAct loops, and memory systems.
• Build reliable agent pipelines with error handling and human-in-the-loop controls.
• Develop evaluation frameworks for reliability, cost, and latency in production.
• Collaborate with product and engineering to identify automation opportunities.

Skills

Software engineering

LLM-based systems

Agent orchestration

State management

Python

CI/CD

Tools

LangGraph

CrewAI

AutoGen

Claude

OpenAI

Pinecone

Weaviate

pgvector

Job 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 systemsBuild reliable agent pipelines that handle ambiguity recover from failures and know when to escape to humansIntegrate LLMs Claude GPT open-source models with external tools APIs databases and enterprise systemsDevelop evaluation frameworks to measure agent reliability accuracy cost and latency in productionImplement guardrails safety layers and human-in-the-loop controls for autonomous systemsOptimize for real-world constraints token costs latency budgets rate limits and context window managementCollaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolioContribute to internal tooling and frameworks that accelerate agent development across the organization

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