This role requires a resource with a strong foundation in Python programming, database management, and data science methodologies, along with proven experience in natural language processing and prompt engineering. Prior work with conversational AI or chatbot systems is highly desirable. Candidates should possess strong research and analytical skills, and sound knowledge of deep learning, including transformers, GANs, VAEs, and large language models (LLMs). Proficiency in frameworks such as TensorFlow, PyTorch, and spaCy is essential.Requirements Any fresher with a B.Tech degree in Artificial Intelligence and Machine Learning (AIML) background. Must possess any graduation degree (Must have Provisional Certificate & Consolidated Marks Memo) Must be willing to work from office & in rotational shifts (5 Working Days & 2 Week Offs) Must be ready to join immediately Job responsibilities Design and develop effective prompts for natural language understanding. Collaborate with engineers and data scientists to integrate prompts into conversational systems. Continuously refine prompts based on user interactions and feedback. Analyze user behavior, model outputs, and performance metrics to improve prompts. Use data-driven insights to enhance prompt effectiveness and efficiency. Optimize algorithms for prompt generation and response quality. Stay updated with NLP advancements and apply innovative techniques. Work with cross-functional teams to ensure seamless integration into products. Test and evaluate prompts to ensure quality and relevance. Identify and resolve prompt-related issues to improve user experience.