LLM Internship Opportunities

Naukri.com’s curated LLM (Large Language Model) internship listing features 301 active, verified vacancies across leading AI research labs, tech product companies, and innovative startups in India. These roles are tailored for undergraduate, postgraduate, and PhD students specializing in Computer Science, Artificial Intelligence, Natural Language Processing, or related technical disciplines, seeking practical exposure to LLM development, fine-tuning, deployment, and applied research. Interns will contribute to live projects including prompt engineering, LLM performance evaluation, training dataset curation, model optimization for low-resource environments, and building end-user LLM-powered applications for enterprise and consumer use cases. Most listed roles offer competitive stipends, flexible hybrid/remote work options, and potential pre-placement offers for high-performing candidates. Opportunities are available in major tech hubs including Bengaluru, Hyderabad, Delhi NCR, Mumbai, and Pune, with options for fully remote work for candidates meeting eligibility criteria. All listings are vetted by Naukri’s team to ensure authenticity, with clear disclosures of role responsibilities, required skill sets, stipend ranges, and application deadlines for each vacancy.

• Currently pursuing or recently completed a Bachelor’s/Master’s/PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Data Science, or a related technical field
• Core understanding of machine learning, deep learning, and fundamental natural language processing concepts
• Prior exposure to LLM architectures (e.g., Transformer, GPT, BERT) and frameworks like PyTorch or TensorFlow is preferred
• Basic proficiency in Python, with familiarity with NLP libraries such as Hugging Face Transformers, spaCy, or NLTK is a plus
• Strong analytical and problem-solving skills, with a keen interest in staying updated on emerging LLM research and industry trends
• Excellent verbal and written communication skills to collaborate with cross-functional teams and document project outcomes
• Eligibility to work in India as per the hiring company’s requirements (for on-site/hybrid roles)