# Agentic AI, Engineer

**Company:** [Master-Works](http://jobs.workable.com/companies/92Fe7BmJELjDwQg6iUJrrE.md)
**Location:** Riyadh, Saudi Arabia
**Workplace:** on site
**Department:** Internal Hiring

[Apply for this job](http://jobs.workable.com/view/0bf633f6-37a3-44a6-a506-a8ca540d626a)

## Description

Master Works is looking for an **Agentic AI, Engineer** to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.

### Key Responsibilities:

-   Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.
-   Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.
-   Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.
-   Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.
-   Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.
-   Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.
-   Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.
-   Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.
-   Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.

## Requirements

-   Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.
-   2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.
-   Preferably 5+ years of overall professional software engineering experience
-   Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.
-   Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
-   Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.
-   Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.

**Job Location:** HQ