Agentic AI Agent

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

Job summary

Mondia Media is seeking an AI/ML engineer to shape how AI transforms work within the company. You will scout emerging AI technologies, pilot new tools, and coordinate cross-department adoption projects, with a focus on enhancing our internal Knowledge Hub so employees can leverage AI effectively.

Responsibilities include designing agentic architectures, building robust pipelines, integrating LLMs with enterprise systems, and developing evaluation frameworks to measure performance, cost, and

Qualifications

• Design multi-step planners and memory systems.
• Integrate LLMs with external tools, APIs, databases.
• Build reliable agent pipelines; handle ambiguity.
• Develop evaluation frameworks for latency, accuracy, and cost.
• Implement guardrails, safety layers, and human-in-the-loop controls.
• Collaborate with product and engineering to find automation opportunities.
• Contribute to internal tooling to accelerate agent development.

Responsibilities

• Design and implement agentic architectures including multi-step planners and memory systems.
• Build and maintain agent pipelines that can handle ambiguity and recover from failures.
• Integrate LLMs (Claude, GPT, open-source models) with tools and enterprise systems.
• Develop evaluation frameworks to measure reliability, cost, and latency in production.
• Implement safety layers and human-in-the-loop controls for autonomous systems.
• Optimize for token costs, latency budgets, rate limits, and context window management.
• Collaborate with product and engineering to identify high-value automation opportunities.

Skills

Agent architectures

Agent pipelines

LLM integration

Evaluation frameworks

Guardrails & safety

Tools

Claude

GPT

Open-source models

Job description

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