Agentic AI Agent

Mondia Group; Dubai; On-site; AED 400,000 - 700,000; Full time

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

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

• 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