Agentic AI Engineer📣 إعلان

About the Role

Master-Works is seeking an Agentic AI Engineer to join its growing team. This full-time position involves designing, building, and deploying agentic AI systems capable of planning, reasoning, and acting. The role focuses on transforming generative AI models into reliable, goal-driven systems that solve complex, real-world business problems.

Role Overview

The Agentic AI Engineer will work with both single-agent and multi-agent systems. This includes orchestrating workflows that incorporate retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This position is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for advanced AI solutions.

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 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.

Qualifications and Experience

• 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.

Required Technical Expertise

• 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.

Application Process

Further details regarding the application process for this Agentic AI Engineer position will be provided upon inquiry.