What will you do?

The work involves designing and implementing AI solutions aligned with business needs and technological standards. It includes applying techniques like Retrieval-Augmented Generation (RAG) to improve the precision and relevance of AI interactions, as well as developing Agentic RAGs , which incorporate autonomous agents to refine data retrieval and content generation. The development of AI agents and agent networks, capable of solving complex problems and interacting with each other, is central to the process. Tools such as LangChain are used to create modular architectures for agents specializing in tasks like information retrieval, contextual inference, and data-driven decision-making. Large Language Models (LLMs) such as Gemini and Llama are leveraged for tasks like text generation and question answering, with added security measures to ensure appropriate content.

Additionally, the work involves ...