Position: Senior LLMOps / AI Platform Engineer Location: Dubai Industry: Financial Services Salary: AED 25 - 30K/ month Role Overview: The job holder will be responsible for building, deploying, optimizing, and operating production-grade LLM and Generative AI infrastructure. The role combines LLM inference, GPU optimization, Kubernetes, cloud infrastructure, observability, RAG, and AI platform engineering. Responsibilities: * Deploy and operate self-hosted LLMs using vLLM, SGLang, Ollama. * Optimize LLM inference for latency, throughput, concurrency, GPU memory, KV cache, and cost. * Manage GPU workloads across multiple NVIDIA GPUs. * Deploy and maintain AI services on Kubernetes / AWS EKS using Docker and Helm. * Implement LLM reliability mechanisms including health checks, monitoring, automated recovery, and model restart/refresh strategies. * Implement observability using Langfuse/LangSmith, OpenTelemetry, Prometheus, and Grafana. * Deploy and optimize RAG systems, embedding models, and vector databases such as Qdrant, Milvus. * Support AI agents and workflows built with LangChain and LangGraph. * Build and maintain CI/CD pipelines for AI services and infrastructure. * Troubleshoot production issues across LLMs, GPUs, Kubernetes, networking, and AI applications. Requirements: * Strong Python and FastAPI experience * vLLM, Hugging Face and self-hosted LLM deployment * Kubernetes, Docker, Helm and AWS * NVIDIA GPU inference and performance optimization * LangChain / LangGraph/LangSmith * RAG, embeddings and vector databases (Qdrant) * LLM observability and monitoring * PostgreSQL / Redis  GitHub Actions / CI/CD * Strong production troubleshooting skills Email CVs to: mahin@hirerightt.com