GENERATIVE AI INTERN

About the program EduRankAI invites applications for the position of Generative AI Intern to join its Artificial Intelligence and Generative AI Research team. This fulltime internship is designed for students and recent graduates who are passionate about Generative Artificial Intelligence, Large Language Models LLMs, Multimodal AI, Prompt Engineering, Natural Language Processing NLP, AI Agents, Foundation Models, and nextgeneration AI applications. As a Generative AI Intern, you will contribute to developing intelligent AIpowered solutions that support EduRankAI's AI Tutor, content generation platform, educational automation systems, research tools, animation specification engines, and digital learning ecosystem. You will work on realworld Generative AI use cases involving text generation, image generation, structured content generation, and multimodal AI systems while collaborating with experienced AI researchers and engineers. As a Generative AI Intern, you will collaborate with AI researchers, machine learning engineers, software engineers, product managers, and education specialists to prototype, evaluate, and improve Generative AI applications. Your responsibilities will include designing and implementing Generative AI features for text, image, and structuredoutput generation developing prompt engineering strategies building prompt workflows and generation pipelines evaluating model responses using quantitative and qualitative evaluation frameworks assisting with RetrievalAugmented Generation RAG systems supporting model finetuning and adaptation workflows experimenting with openweight foundation models and commercial LLM APIs implementing AIpowered automation features analysing hallucinations, factual consistency, and response quality documenting prompt libraries, evaluation methodologies, and generation strategies contributing to AI experimentation and benchmarking collaborating on AI safety and responsible AI practices and supporting the deployment of Generative AI capabilities into productionready educational products. Applicants should possess a strong understanding of Python programming, Artificial Intelligence, Machine Learning, Natural Language Processing, software engineering principles, and data structures. Familiarity with Large Language Models LLMs, OpenAI APIs, Hugging Face Transformers, LangChain, LlamaIndex, RetrievalAugmented Generation RAG, prompt engineering, vector databases, embeddings, PyTorch, TensorFlow, Git, Jupyter Notebooks, AI evaluation frameworks, model finetuning, LoRA, PEFT, multimodal AI, Stable Diffusion, image generation models, or cloudbased AI development platforms will be considered an advantage but is not mandatory. Knowledge of Generative AI workflows, AI agents, function calling, reasoning models, structured output generation, AI evaluation methodologies, or opensource LLMs will also be beneficial. Candidates with academic projects, hackathons, research work, AI competitions, opensource contributions, or personal projects involving Generative AI, Large Language Models, chatbots, AI assistants, or AI automation are strongly encouraged to apply. Throughout the internship, participants will receive structured mentorship, continuous technical guidance, engineering best practices, research discussions, code reviews, and exposure to modern Generative AI development workflows. Interns will gain practical experience in prompt engineering, AI evaluation, RetrievalAugmented Generation RAG, LLM integration, model adaptation, AI experimentation, technical documentation, collaborative software development, responsible AI practices, and productiongrade Generative AI systems while contributing directly to live Artificial Intelligence initiatives. We are looking for individuals with exceptional analytical ability, creativity, logical reasoning, scientific curiosity, problemsolving skills, attention to detail, communication skills, ownership, adaptability, teamwork, engineering discipline, research orientation, and a continuous learning mindset. The internship is primarily conducted onsite at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional, preapproved cases. Applications submitted under EduRankAI's Talent Accessibility Initiative are completely free. This is an unpaid internship intended to provide meaningful industry exposure, structured mentorship, handson Generative AI experience, professional portfolio development, and opportunities for outstanding performers to be considered for advanced AI research projects, internship extensions, preplacement interviews, research collaborations, or future fulltime opportunities based on performance and organizational requirements. Perks Certificate of Completion Letter of Recommendation for exceptional performers Mentorship from Senior AI Researchers and Generative AI Engineers Hands-on experience with production-grade Generative AI and Large Language Models Exposure to Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and multimodal AI Opportunity to contribute to live AI Tutor, content generation, and AI-powered educational products Professional Generative AI portfolio development Cross-functional collaboration with AI research, engineering, product, and education teams Performance-based Pre-Placement Interview opportunity Exposure to cutting-edge Generative AI, Foundation Models, LLMs, AI evaluation, and Responsible AI practices Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement This is a full-time internship requiring a commitment of six days per week, for a duration of three months. The internship is primarily conducted on-site at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional cases with prior organizational approval. Interns will contribute to live Generative AI and Artificial Intelligence projects while maintaining professionalism, confidentiality, documentation standards, engineering best practices, research integrity, responsible AI principles, and project timelines. Participants will collaborate with multidisciplinary teams, design prompt workflows, prototype AI applications, evaluate model performance, prepare technical documentation, participate in AI research discussions, and support continuous improvements in production-ready Generative AI systems. Successful completion of the internship will be evaluated based on technical competency, model quality, analytical ability, engineering standards, documentation quality, collaboration, innovation, ownership, consistency, professionalism, and overall contribution throughout the internship. Number of openings 10