How Modern AI Agents Actually Work: MCP, RAG & Agents
About this event
About the Event
Most people learning AI today are only scratching the surface layer – prompts, chat interfaces, and isolated outputs. But the systems actually powering modern AI applications are far more complex.
Masters’ Union is hosting How Modern AI Agents Actually Work: MCP, RAG & Agents, a deep-dive session focused on understanding the core building blocks behind modern agentic AI systems. This webinar will break down how RAG pipelines improve reliability, how agents interact with tools and workflows, how protocols like MCP enable interoperability, and what separates production grade systems from surface level demos.
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Led by Arun Goel, Software Engineer at Uber, this session will focus on the core concepts powering today's AI applications. Participants will explore how Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), memory, and tool orchestration come together to enable AI agents to operate beyond simple prompting.
By the end of the session, participants will have developed a practical understanding of how modern AI agents are designed and gained insight into the architectural concepts driving the next generation of AI products.
In this webinar we’ll cover:
- Why prompt engineering alone is no longer enough for modern AI applications
- How RAG architectures work and why they are becoming foundational to AI systems
- Understanding Model Context Protocol (MCP) and its role in enabling communication between AI models and external systems
- What real-world AI agent design looks like beyond prototype demos
- What engineers should learn to stay relevant in an AI-first ecosystem
Who is this workshop for?
This session is designed for software engineers, backend developers, AI enthusiasts, and tech professionals who want to understand how modern AI agents are built and what skills are becoming increasingly important in real-world AI engineering roles.
About the Speaker
Arun Goel is a Software Engineer at Uber and an industry expert in building and evaluating high-quality engineering talent. He has previously worked with companies such as Atlassian and Samsung R&D Bangalore, bringing a strong understanding of how modern AI systems are engineered, deployed, and scaled across large technology environments.
Source: meetup