Remote AI Agent Engineer - Autonomous Systems

Hired

United Arab Emirates

On-site

AED 250,000 - 420,000

Full time

2 days ago
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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

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.

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