AI/ML Engineer Intern (Generative AI / LLMs)

LLM Internship Opportunities on Naukri.com

This page aggregates 300+ verified LLM (Large Language Model) internship opportunities listed on Naukri.com, India's leading job search platform. The highlighted featured role is AI/ML Engineer Intern (Generative AI / LLMs), offering a monthly stipend of ₹5,500, with start dates available within 1 to 3 months of selection. These internships are designed for students, recent graduates, and early-career professionals seeking hands-on experience in generative AI, LLM development, fine-tuning, prompt engineering, and AI product deployment. Opportunities are posted by a range of employers including tech startups, IT services firms, and product-based companies building cutting-edge AI solutions. Interns will work alongside senior AI/ML teams to contribute to live projects such as model optimization, dataset curation, building internal AI tools, and developing user-facing generative AI features. Internship durations typically range from 3 to 6 months, with flexible work modes including remote, hybrid, and on-site options available across roles. Stipends, project scope, and eligibility criteria vary across individual postings, with most roles open to candidates pursuing or having completed a technical undergraduate or postgraduate degree. All listings are regularly updated, and candidates can apply directly through the Naukri.com platform to connect with hiring teams.

• Currently enrolled in or recently completed a Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical discipline
• Basic understanding of machine learning fundamentals, natural language processing (NLP), and large language model (LLM) core concepts
• Proficiency in Python and familiarity with AI/ML libraries including PyTorch, TensorFlow, or Hugging Face Transformers
• Strong curiosity and eagerness to learn about generative AI workflows, prompt engineering, and LLM fine-tuning processes
• Good collaborative and communication skills to work effectively with cross-functional AI teams and document project outcomes
• Prior experience with personal AI projects, relevant coursework, or participation in AI/ML hackathons is considered a plus