Development in Python for automation, data processing, and API integration, as well as the development of microservices related to generative AI models.Design, testing, and optimization of prompts for large language models (LLMs).Application of techniques such as RAG (Retrieval-Augmented Generation), few-shot prompting, and chain-of-thought reasoning.Integration of generative models into automated workflows and development of functions that enable bots to interact with language models for various tasks (data extraction, summarization, classification, etc.).Interdisciplinary collaboration for the development of hybrid solutions.