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.