Agentic AI Engineer: Orchestrate Multi-Agent Workflows

Master Works

Riyadh

On-site

SAR 240,000 - 360,000

Full time

3 days ago
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Job summary

Master Works is seeking an Agentic AI Engineer to design, build, and deploy agentic AI systems capable of planning, reasoning, and acting in real-world business contexts. The role focuses on both single-agent and multi-agent orchestration, including RAG, memory, and inter-agent communication.

You will collaborate with Generative AI, application engineers, and product teams to move prototypes into production, ensuring safety, observability, and reliable user experiences.

Qualifications

  • Hands-on experience building agentic AI systems.
  • 2+ years in agentic AI, LLM-powered apps, or Generative AI.
  • 5+ years of overall software engineering experience preferred.
  • Experience with microservices on cloud platforms.

Responsibilities

  • Architect, build, and deploy agentic AI systems integrating agents with models and tools.
  • Develop RAG, memory, and reasoning pipelines grounded in real data.
  • Design single- and multi-agent workflows including tool selection and handoffs.
  • Optimize performance balancing autonomy, latency, and cost.
  • Collaborate with Generative AI, MLOps, and product teams to productionize solutions.
  • Monitor safety, accuracy, observability, and user experience.

Skills

Agentic AI concepts
LLM-powered applications
Software engineering
Inter-agent communication

Education

Bachelor's or Master's in CS/AI/ML

Tools

Kubernetes
CI/CD pipelines
AWS
Azure
Google Cloud Platform (GCP)

Job description

Master Works is seeking an Agentic AI Engineer to design, build, and deploy agentic AI systems capable of planning, reasoning, and acting in real-world business contexts. The role focuses on both single-agent and multi-agent orchestration, including RAG, memory, and inter-agent communication.

You will collaborate with Generative AI, application engineers, and product teams to move prototypes into production, ensuring safety, observability, and reliable user experiences.

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