Day in the life of AI Engineer: With a Demo

Join us for another episode of Sip N’ Sync with Azure, where we explore a day in the life of an AI engineer and what it really takes to build production‑ready AI applications. In this episode, Priyanka Vergadia is joined by Anthony Sofio, who walks through a real, end‑to‑end AI engineering project built with Microsoft Agent Framework, Azure, and Microsoft Foundry. Together, they demystify AI engineering and show how it’s evolving from traditional software development into multi‑agent, multimodal systems. Anthony shares a personal project he built for his kids: a generative AI children’s story app that uses multiple agents to create story outlines, generate illustrations, review content, and even add interactive activity pages. Along the way, you’ll see how AI engineers handle non‑deterministic behavior, orchestrate agents with workflows, integrate retrieval‑augmented generation (RAG), and ensure safety, observability, and evaluation at scale. This episode goes beyond theory and dives deep into real code, real tooling, and real workflows, giving you a clear picture of how modern AI apps are built on Azure today. Whether you’re a software engineer curious about AI, or already building with large language models, this session will give you practical insight into the tools, patterns, and practices of AI engineering. ✅ What You’ll Learn - What an AI engineer does day‑to‑day and how the role differs from traditional software engineering - How to design and orchestrate multi‑agent workflows using Microsoft Agent Framework - How to build a generative AI app that combines text, images, and text‑to‑speech - How retrieval‑augmented generation (RAG) can bring external knowledge into AI apps - How to use conditional and parallel execution to control complex AI workflows - How to trace, monitor, and debug AI applications with OpenTelemetry and AI Toolkit - How to evaluate prompts and agents using LLM‑as‑a‑judge techniques - How to apply content safety and guardrails for enterpr