GenAI Intern

• 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.