AI Engineer (Generative AI, Agentic AI & Enterprise AI Platforms) | | UAE

Job Title

AI Engineer (Generative AI, Agentic AI & Enterprise AI Platforms) | Dicetek UAE | Abu Dhabi, UAE

Dicetek UAE

Abu Dhabi, United Arab Emirates

Full-Time

• Senior-Level AI Engineering Opportunity
• Enterprise AI & Innovation Program
• Minimum 10 Years Overall Technology Experience
• Minimum 3+ Years Hands-On AI Engineering Experience
• Experience with Generative AI and LLM-Based Solutions Required

Dicetek UAE is seeking a highly experienced AI Engineer to lead the design, development, deployment, and governance of enterprise-grade AI solutions. This role is ideal for professionals with strong backgrounds in software engineering, cloud platforms, Generative AI, Agentic AI, and Large Language Model (LLM) applications who can deliver scalable, production-ready AI solutions in complex enterprise environments.

As an AI Engineer, you will be responsible for designing and implementing advanced AI-powered applications that leverage Generative AI, Agentic AI, LLMs, retrieval systems, and cloud-native architectures. You will work closely with product teams, architects, software engineers, and business stakeholders to build intelligent systems that solve real-world business challenges. The role requires hands‑on expertise in AI orchestration frameworks, cloud AI platforms, vector databases, RAG architectures, Kubernetes, Dev Ops automation, and enterprise software engineering best practices.

You will be expected to drive innovation while ensuring high standards of security, governance, scalability, observability, and operational excellence. This is a strategic opportunity to contribute to enterprise AI transformation initiatives within a rapidly evolving technology landscape.

• Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions.
• Build and optimize Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, and semantic search technologies.
• Develop intelligent multi-agent workflows using Semantic Kernel, Auto Gen, Lang Chain, and Lang Graph.
• Architect scalable AI applications using cloud-native and microservices-based approaches.
• Integrate LLMs into enterprise systems and business applications.
• Deploy and manage AI workloads across AWS, Azure, and hybrid cloud environments.
• Develop APIs and backend services using Python and FastAPI.
• Implement AI observability, monitoring, evaluation, governance, and guardrail frameworks.
• Support Kubernetes-based deployment, scaling, and orchestration of AI solutions.
• Design and maintain CI/CD pipelines and Dev Ops automation for AI applications.
• Collaborate with architecture, product, and engineering teams to deliver secure and scalable AI products.
• Provide technical leadership, mentoring, and guidance to engineering teams.

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related discipline.
• Approximately 10 years of software engineering, cloud engineering, architecture, or platform engineering experience.
• Minimum 3+ years of hands‑on AI Engineering experience.
• Strong experience delivering Generative AI and LLM-powered applications.
• Expert-level Python programming skills.
• Strong experience with Num Py, Pandas, and FastAPI.
• Hands‑on experience with PyTorch and/or Tensor Flow.
• Experience with Lang Chain and Lang Graph.
• Mandatory experience with Microsoft Semantic Kernel.
• Mandatory experience with Microsoft Auto Gen.
• Experience implementing RAG solutions using embeddings, semantic search, vector databases, and retrieval optimization techniques.
• Hands‑on experience with Amazon Bedrock.
• Experience with Azure OpenAI Service.
• Experience with Google Vertex AI.
• Strong knowledge of APIs, microservices, event-driven architecture, and cloud-native services.
• Experience deploying AI workloads to Kubernetes environments.
• Strong Dev Ops, CI/CD, and automation experience.
• Experience with Jenkins and/or Git Lab pipelines.
• Experience implementing release governance, quality gates, and static code analysis.
• Experience monitoring cloud,…