Agentic AI Architect & Orchestration Lead

Mondia Group

Dubai

On-site

AED 400,000 - 700,000

Full time

3 days ago
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Job summary

Mondia Group is exploring how AI transforms work. You’ll scout emerging AI technologies, pilot new tools, and coordinate cross-department adoption, focusing on enhancing our internal Knowledge Hub — ensuring information flows seamlessly and employees can leverage AI to its fullest.

You will design agent architectures, integrate LLMs with enterprise systems, build robust pipelines, and collaborate with product and engineering to unlock automation across our digital entertainment portfolio.

Qualifications

  • 5+ years of software engineering experience, with 1–2 years focused on LLM-based systems.
  • Hands-on experience building agentic systems — orchestration, tool use, and state management.
  • Strong proficiency in Python; familiarity with TypeScript is a plus.
  • Deep understanding of LLM APIs (Claude, OpenAI) including function calling and streaming.

Responsibilities

  • Design and implement agent architectures — multi-step planners, ReAct loops, tool-use orchestration, memory systems.
  • Build reliable agent pipelines that handle ambiguity, recover from failures, and know when to escalate to humans.
  • Integrate LLMs with external tools, APIs, databases, and enterprise systems.
  • Develop evaluation frameworks to measure agent reliability, accuracy, cost, and latency.
  • Implement guardrails, safety layers, and human-in-the-loop controls for autonomous systems.
  • Collaborate with product and engineering teams to identify high-value automation opportunities.
  • Contribute to internal tooling and frameworks that accelerate agent development.

Skills

Python
LLM systems
Agent orchestration
Tool integration
CI/CD
LangGraph
CrewAI
AutoGen
Pinecone
Weaviate
pgvector

Tools

LangGraph
CrewAI
AutoGen
Pinecone
Weaviate
pgvector

Job description

Mondia Group is exploring how AI transforms work. You’ll scout emerging AI technologies, pilot new tools, and coordinate cross-department adoption, focusing on enhancing our internal Knowledge Hub — ensuring information flows seamlessly and employees can leverage AI to its fullest.

You will design agent architectures, integrate LLMs with enterprise systems, build robust pipelines, and collaborate with product and engineering to unlock automation across our digital entertainment portfolio.

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