LLM Intern (Multiple Openings)

This Indeed aggregate listing features 148+ LLM Intern opportunities across India, with flexible schedules and fully remote work options available for most roles. Positions are focused on core large language model (LLM) development tasks, including implementing and optimizing ML algorithms, fine-tuning open-source LLMs, testing model performance, and building production-ready AI tools. Select roles also involve guiding students through hands-on practical LLM sessions, helping learners build skills in prompt engineering, model deployment, and generative AI application development.

Interns will collaborate with experienced ML engineers, data scientists, and product teams to contribute to live AI projects, gaining exposure to the full LLM development lifecycle. These roles are ideal for students and recent graduates looking to build practical experience in the fast-growing generative AI space, with no prior professional experience required for most entry-level openings. Flexible timings are designed to accommodate academic commitments, and remote work arrangements eliminate the need for daily commutes. Successful interns will have the opportunity to build a portfolio of LLM projects, receive mentorship from industry professionals, and explore full-time employment opportunities with host companies post-graduation.

• Currently enrolled in a undergraduate, postgraduate, or PhD program in Computer Science, Artificial Intelligence, Data Science, or a related technical discipline
• Proficiency in Python programming and solid understanding of core machine learning algorithms and concepts
• Basic familiarity with large language models (LLMs), transformer architectures, and natural language processing (NLP) fundamentals
• Experience with LLM frameworks such as Hugging Face Transformers, PyTorch, or TensorFlow is a plus
• Strong curiosity and willingness to learn new generative AI tools, techniques, and best practices
• Ability to commit 10-20 hours per week, with flexible scheduling available to align with academic timetables
• Strong communication skills, with the ability to guide peers through practical LLM exercises for applicable roles
• Prior experience with prompt engineering, model fine-tuning, or AI tool development is preferred but not mandatory for most openings