Artificial intelligence hiring has evolved, with recruiters now assessing how candidates apply machine learning, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and problem-solving skills to real-world scenarios. The article covers the 10 most frequently asked AI programming interview questions for 2026, serving as a quick revision resource for beginners and experienced developers. Artificial Intelligence (AI) refers to computer systems that perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language understanding, powering applications including chatbots, recommendation engines, virtual assistants, fraud detection, and autonomous systems. AI is the broad field of building intelligent systems; Machine Learning is a branch of AI that enables systems to learn from data without explicit programming; Deep Learning is a subset of Machine Learning that uses multi-layer neural networks to solve complex tasks like image recognition and natural language processing. Large Language Models are AI systems trained on massive amounts of text to understand and generate human-like language, with models such as GPT, Gemini, and Claude answering questions, writing code, summarising documents, and supporting business workflows. Prompt engineering is the practice of writing clear and structured instructions that guide an AI model to produce accurate results, reducing ambiguity and improving output quality. Retrieval-Augmented Generation combines an LLM with an external knowledge source, retrieving relevant information from documents or databases before generating a response to improve factual accuracy and reduce hallucinations. AI agents are autonomous systems that can plan tasks, make decisions, and use