Technology has become the driving force of progress and development all around the world. The recent development of Generative Artificial Intelligence has led to a revolution in the field of Education, Employment and Human Resources. Securing a dream job or building a suitable career is the goal of every student. Likewise finding the right candidate for the job is the goal of every employer. LLMs (Large Language Model) comes to the rescue, through dynamic question content creation for a selected topic and test the candidate for that set of skills. A candidate’s unique set of skills and abilities are understood and tested by the Generative AI where conventional methods fall short to meet this criterion. This paper proposes an automated question generation framework built using LangChain, LLM model -GPT Turbo 3.5 from OpenAI API and Streamlit application development tool. This application successfully tests the skills of the candidates by asking customized multiple-choice, true/false and open-ended questions based on their chosen topic, knowledge level, number of questions and time limit. Results indicate that this framework can create a challenging environment for the contenders thereby facilitating the interview process and selection of highly suitable candidates.