AI Engineer (Remote)

Hired; United Arab Emirates; On-site; AED 250,000 - 420,000; Full time

Job summary

Hired is assisting a client in the United Arab Emirates to hire an Agentic AI Expert for a full-time role. You will design, develop, and deploy autonomous AI systems capable of independent decision‑making and task execution across enterprise environments.

Work includes building agent frameworks with multi-step reasoning, integrating with external APIs and data services, and evaluating performance, reliability, and safety at scale.

Qualifications

• Experience in building agentic AI systems using frameworks such as LangChain, AutoGen, or CrewAI.
• Proficiency in Python and familiarity with AI libraries like Hugging Face Transformers or PyTorch.
• Knowledge of reinforcement learning, tool-use mechanisms, and multi-agent coordination.
• Strong problem-solving skills with a focus on scalable and maintainable AI solutions.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying agentic systems.

Responsibilities

• Build and optimize AI agents with multi-step reasoning capabilities for real-world applications.
• Implement reinforcement learning and tool-use architectures to enable agent autonomy.
• Integrate agents with external APIs, databases, and third-party services for seamless operation.
• Develop evaluation frameworks to measure agent performance, reliability, and safety.
• Collaborate with cross-functional teams to align agent behavior with business objectives.

Skills

Agentic AI systems

Python

Reinforcement learning

Problem solving

Cloud platforms

Tools

LangChain

AutoGen

CrewAI

Job description

We are hiring for one of our clients, seeking an Agentic AI Expert to work on a Full-Time basis. The role involves designing, developing, and deploying autonomous AI systems capable of independent decision-making and task execution. Candidates will contribute to cutting-edge AI agent frameworks that automate complex workflows across enterprise environments.

Key Responsibilities:

• Build and optimize AI agents with multi-step reasoning capabilities for real-world applications.
• Implement reinforcement learning and tool-use architectures to enable agent autonomy.
• Integrate agents with external APIs, databases, and third-party services for seamless operation.
• Develop evaluation frameworks to measure agent performance, reliability, and safety.
• Collaborate with cross-functional teams to align agent behavior with business objectives.

Required Skills & Qualifications:

• Experience in building agentic AI systems using frameworks such as LangChain, AutoGen, or CrewAI.
• Proficiency in Python and familiarity with AI libraries like Hugging Face Transformers or PyTorch.
• Knowledge of reinforcement learning, tool-use mechanisms, and multi-agent coordination.
• Strong problem-solving skills with a focus on scalable and maintainable AI solutions.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying agentic systems.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of next-generation AI agents for enterprise automation. The project focuses on advancing autonomous decision-making in high-stakes environments.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.