Senior MLOps (AI Platforms / LLM Systems)

**General Description** Join a fast\-growing, AI\-driven organization in Abu Dhabi building next\-generation AI platforms and intelligent systems at scale. The organization focuses on delivering **enterprise\-grade AI ecosystems** , combining AI/ML, cloud infrastructure, and data platforms to power large\-scale digital transformation initiatives across enterprise and government environments. Their work centers on building **production\-ready AI platforms** , including LLM\-based systems, intelligent automation, and scalable AI infrastructure. We are looking for experienced **MLOps / AI Platform Engineers (Senior / Lead level)** to design, build, and scale production\-grade AI and machine learning platforms. This role focuses on delivering end\-to\-end AI systems, including LLM\-based applications, ML workflows, and backend services that power enterprise and large\-scale AI use cases. This role is ideal for engineers with strong experience in **AI/ML systems, backend development, and cloud infrastructure** , who can bridge the gap between model development and real\-world production deployment. This is a **6\-month contract role (extendable)** with **full onsite presence in Abu Dhabi** . **Key Responsibilities** * Design and build scalable AI platforms supporting ML workflows and LLM\-based applications * Develop and deploy AI/ML models into production environments using MLOps best practices * Build and maintain backend services and APIs (Python, FastAPI) for AI\-powered systems * Implement and optimize RAG pipelines and LLM\-based solutions using tools like LangChain and LlamaIndex * Manage containerized deployments using Docker and Kubernetes in cloud environments (AWS/Linux) * Establish and maintain CI/CD pipelines for ML and AI workloads (Jenkins, Terraform, DVC, MLflow) * Implement model serving and orchestration using tools such as KServe * Work with vector databases and data systems (FAISS, PostgreSQL, Redis) to support AI applications * Monitor system performance, reliability, and observability using Prometheus and Grafana * Collaborate with cross\-functional teams including AI/ML engineers, backend developers, and platform teams to deliver high\-quality AI systems. **Required Skills \& Experience** * Strong experience as an MLOps Engineer, AI Platform Engineer, or Backend Engineer with AI/ML exposure * Proven experience deploying ML models or AI systems into production (not just experimentation) * Hands\-on experience with LLMs, RAG pipelines, or GenAI\-based applications * Strong programming experience in Python with backend frameworks such as FastAPI * Experience with containerization and orchestration (Docker, Kubernetes) * Experience working in cloud environments (AWS or similar) and Linux systems * Familiarity with MLOps tools such as MLflow, KServe, DVC, Jenkins, or Terraform * Experience working with data systems, vector stores, and caching layers (PostgreSQL, Redis, FAISS) * Understanding of monitoring, logging, and observability tools (Prometheus, Grafana) * Experience working in scalable, distributed systems and microservices architectures. **Engagement Details** **Engagement Type:** Contract / Freelance **Duration:** 6 months (extendable) **Location:** Abu Dhabi (Full Onsite)