AI Engineer Agentic📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
Job Description
About Master Works and the Role
Master Works is seeking an AI Engineer Agentic to join its team in Riyadh, Saudi Arabia. This full-time role focuses on the design, construction, and deployment of agentic AI systems that are capable of planning, reasoning, and acting.
Role Overview
The AI Engineer Agentic will be responsible for developing both single-agent and multi-agent systems. This involves orchestrating workflows that incorporate retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory management, and inter-agent communication. The ideal candidate is a proficient software engineer with practical AI/ML development experience, driven to evolve generative AI models into dependable, goal-oriented systems that address intricate real-world business challenges.
Key Responsibilities
- Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs, utilizing established agentic frameworks or custom orchestrators.
- Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines to 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 transition agentic AI solutions from prototype to production.
- Monitor, evaluate, and benchmark agent performance, ensuring AI systems are safe, accurate, trustworthy, observable, and deliver a high-quality user experience.
- Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic for 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.
Required Experience and Qualifications
Candidates should possess 5-10 years of relevant experience. This role requires a strong background as a software engineer with hands-on experience in AI/ML development. A passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems is essential.
Work Environment and Collaboration
This is a full-time position based in Riyadh, Saudi Arabia. The role involves close collaboration with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.
Application Information
The salary for this position will be discussed during the interview process. Interested candidates are encouraged to apply.
Requirements
- Requires 5-10 Years experience
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