Build and implement production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure. Ensure reliability, scalability, and continuous improvement across AI workloads.

Key Responsibilities:

• Develop modular Python code for LLM, RAG, and ML components.
• Build APIs, orchestration scripts, and integration layers for enterprise apps.
• Implement RAG workflows, vector DB configurations, and prompt engineering.
• Deploy and monitor AI models using containerization and CI/CD pipelines.
• Collaborate with architects and product teams to refine designs and deliverables.

Must-Have Skills:

• Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
• Python (Strong) and advanced RAG Workflow experience
• Hands-on with agentic GenAI components and ML pipelines

Arabic proficiency is a plus.