• Assist in developing and testing Generative AI applications using Large Language Models (LLMs). • Work with AI models and APIs such as OpenAI, Gemini, or open-source models. • Support prompt engineering, prompt optimization, and AI response evaluation. • Assist in building AI-powered chatbots, virtual assistants, and automation tools. • Work on Retrieval-Augmented Generation (RAG) applications. • Support document processing, text generation, summarization, and semantic search projects. • Assist in integrating LLM APIs with Python-based applications. • Work with frameworks such as LangChain, LlamaIndex, or Hugging Face. • Perform data preprocessing, cleaning, and preparation for AI applications. • Test and evaluate AI model responses for accuracy, relevance, and reliability. • Collaborate with AI/ML engineers and developers on ongoing projects. • Maintain technical documentation and project reports. • Stay updated with emerging trends and technologies in Generative AI. Requirements • Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field. • Basic knowledge of Python programming. • Understanding of Machine Learning, Deep Learning, and NLP fundamentals. • Familiarity with Generative AI concepts and Large Language Models (LLMs). • Basic understanding of prompt engineering. • Knowledge of REST APIs and JSON. • Familiarity with Python libraries such as Pandas, NumPy, and Scikit-learn. • Basic knowledge of Git and GitHub. • Good analytical, problem-solving, and communication skills. • Willingness to learn new AI tools and technologies.