Candidates with early experience of software engineering, data science, automation, or related technical work gained through internships, academic projects, research assignments, open-source contributions, hackathons, or personal portfolio work. Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning.