Key Responsibilities:

• Assist in the design, development, and deployment of AI agents using LLMs and RAG for various use cases.
• Learn to implement and optimize workflows using Langflow to streamline the development of intelligent agents.
• Support the integration of APIs and external data sources to enhance AI model capabilities.
• Contribute to the development of scalable and efficient Python-based pipelines for data preprocessing, training, and inference.
• Work collaboratively with cross-functional teams to gather requirements and deliver AgentAI solutions.
• Participate in debugging and performance optimization of deployed AI systems.
• Stay curious and enthusiastic about learning the latest advancements in LLMs, RAG, and AI technologies.