- 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 Lang Chain, Llama Index, 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, Num Py, and Scikit-learn.

- Basic knowledge of Git and Git Hub.

- Good analytical, problem-solving, and communication skills.

- Willingness to learn current AI tools and technologies.

📌 GenAI Intern (India)
🏢 Training Basket
📍 India