Building AI at Scale: The OpenAI Response API Deep Dive
from Agents of Intelligence Hosted by Sam Zamany
Welcome to Building AI at Scale, the podcast where we break down the intricacies of deploying enterprise-grade AI applications. In this series, we take a deep dive into the OpenAI Response API and explore its technical implementation, performance optimization, concurrency management, and enterprise deployment strategies. Designed for software engineers, AI architects, and data engineers, we discuss key considerations when integrating the OpenAI Python SDK with agentic frameworks like LangChain and GraphChain, as well as cloud platforms like Azure and AWS. Learn how to optimize latency, handle rate limits, implement security best practices, and scale AI solutions efficiently. Whether you’re an AI veteran or leading a new generative AI initiative in your organization, this podcast provides the technical depth and real-world insights you need to build robust AI-powered systems.
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What this episode covers
A deep technical dive into building enterprise-scale AI applications with the OpenAI Response API. We cover performance tuning, concurrency, security, cloud integration, and best practices for deploying AI systems efficiently. Perfect for AI engineers, software architects, and data scientists working on next-gen LLM applications.
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