Key Responsibilities Develop and prototype applications using Large Language Models (LLMs) and Retrieval- Augmented Generation (RAG). Contribute to the design and development of chatbots and AI-driven tools for survivor care and case management. Clean, annotate, and analyze real-world datasets from law enforcement agencies and partner organizations. Assist in fine-tuning LLMs using instruction-tuning, embedding-based techniques, and other modern NLP approaches. Ideal Candidate Currently pursuing a B.E./B.Tech in AI/ML, Computer Science, or a related discipline (or equivalent program). Familiarity with Python; experience with tools such as HuggingFace Transformers, LangChain, or similar LLM frameworks is a strong plus. Solid academic performance (CGPA 7.5+ or equivalent preferred). Previous experience with chatbot development, LLM fine-tuning, or AI/ML research projects is highly desirable. Deeply motivated to leverage technology for meaningful social impact.

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