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This show is your guidebook to building scalable and maintainable AI systems. You will learn how to architect AI applications, apply AI to your work, and the considerations involved in building or customizing new models. Everything that you need to know to deliver real impact and value with machine learning and artificial intelligence.
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What Do Humans Do Now? Rethinking Software Engineering in the Age of AI Agents
Summary In this episode, I spoke with Jonathan Ellis about how AI agents are changing the economics of software development and forcing teams to rethink where human time is best spent. We explored his argument that, now that code generation
How to Evaluate RAG Systems When Ground Truth Keeps Changing
Summary In this episode Ofer Mendelevitch shares what it really takes to evaluate RAG systems in production when your source data is incomplete, constantly changing, or difficult to validate against a clean ground truth. He explores how RAG
Harness Engineering for Reliable, Governed AI Agents
Summary In this episode Nikunj Bajaj, co-founder and CEO of TrueFoundry, talks about the challenge of building reliable agents on top of inherently variable foundation models. He explores the idea of the agent harness as everything around t
Kubernetes, Compliance, and Control: The Operational Backbone of AI Sovereignty
Summary In this episode of the AI Engineering Podcast, Steven Watt, leader of the Office of the CTO at Red Hat, discusses practical paths to achieving AI sovereignty for organizations. He shares his two-decade experience in AI, highlighting
From Blind Spots to Observability: Operationalizing LLM Apps with OpenLit
Summary In this episode of the AI Engineering Podcast, Aman Agarwal, creator of OpenLit, discusses the operational foundations required to run LLM-powered applications in production. He highlights common early blind spots teams face, includ
Taming Voice Complexity with Dynamic Ensembles at Modulate
Summary In this episode of the AI Engineering Podcast, Carter Huffman, co-founder and CTO of Modulate, discusses the engineering behind low-latency, high-accuracy Voice AI. He explains why voice is a uniquely challenging modality due to its
GPU Clouds, Aggregators, and the New Economics of AI Compute
Summary In this episode I sit down with Hugo Shi, co-founder and CTO of Saturn Cloud, to map the strategic realities of sourcing and operating GPUs across clouds. Hugo breaks down today’s provider landscape—from hyperscalers to full-service
The Future of Dev Experience: Spotify’s Playbook for Organization‑Scale AI
Summary In this episode of the AI Engineering Podcast Niklas Gustavsson, Chief Architect at Spotify, talks about scaling AI across engineering and product. He explores how Spotify's highly distributed architecture was built to support rapid
Generative AI Meets Accessibility: Benchmarks, Breakthroughs, and Blind Spots with Joe Devon
Summary In this episode Joe Devon, co-founder of Global Accessibility Awareness Day (GAAD), talks about how generative AI can both help and harm digital accessibility — and what it will take to tilt the balance toward inclusion. Joe shares
Beyond the Chatbot: Practical Frameworks for Agentic Capabilities in SaaS
Summary In this episode product and engineering leader Preeti Shukla explores how and when to add agentic capabilities to SaaS platforms. She digs into the operational realities that AI agents must meet inside multi-tenant software: latency
MCP as the API for AI‑Native Systems: Security, Orchestration, and Scale
Summary In this episode Craig McLuckie, co-creator of Kubernetes and founder/CEO of Stacklok, talks about how to improve security and reliability for AI agents using curated, optimized deployments of the Model Context Protocol (MCP). Craig
Context as Code, DevX as Leverage: Accelerating Software with Multi‑Agent Workflows
Summary In this episode Max Beauchemin explores how multiplayer, multi‑agent engineering is reshaping individual and team velocity for building data and AI systems. Max shares his journey from Airflow and Superset to going all‑in on AI codi
Inside the Black Box: Neuron-Level Control and Safer LLMs
Summary In this episode of the AI Engineering Podcast Vinay Kumar, founder and CEO of Arya.ai and head of Lexsi Labs, talks about practical strategies for understanding and steering AI systems. He discusses the differences between interpret
Building the Internet of Agents: Identity, Observability, and Open Protocols
Summary In this episode Guillaume de Saint Marc, VP of Engineering at Cisco Outshift, talks about the complexities and opportunities of scaling multi‑agent systems. Guillaume explains why specialized agents collaborating as a team inspire t
Agents, IDEs, and the Blast Radius: Practical AI for Software Engineers
Summary In this episode of the AI Engineering Podcast Will Vincent, Python developer advocate at JetBrains (PyCharm), talks about how AI utilities are revolutionizing software engineering beyond basic code completion. He discusses the shift
From MRI to World Models: How AI Is Changing What We See
Summary In this episode of the AI Engineering Podcast Daniel Sodickson, Chief of Innovation in Radiology at NYU Grossman School of Medicine, talks about harnessing AI systems to truly understand images and revolutionize science and healthca
Specs, Tests, and Self‑Verification: The Playbook for Agentic Engineering Teams
Summary In this episode Andrew Filev, CEO and founder of ZenCoder, takes a deep dive into the system design, workflows, and organizational changes behind building agentic coding systems. He traces the evolution from autocomplete to truly ag
From Probabilistic to Trustworthy: Building Orion, an Agentic Analytics Platform
Summary In this episode of the AI Engineering Podcast Lucas Thelosen and Drew Gillson talk about Orion, their agentic analytics platform that delivers proactive, push-based insights to business users through asynchronous thinking with rich
Building Production-Ready AI Agents with Pydantic AI
Summary In this episode of the AI Engineering Podcast Samuel Colvin, creator of Pydantic and founder of Pydantic Inc, talks about Pydantic AI - a type-safe framework for building structured AI agents in Python. Samuel explains why he built
From GPUs to Workloads: Flex AI’s Blueprint for Fast, Cost‑Efficient AI
Summary In this episode of the AI Engineering Podcast Brijesh Tripathi, CEO of Flex AI, talks about revolutionizing AI engineering by removing DevOps burdens through "workload as a service". Brijesh shares his expertise from leading AI/HPC
Right-Sizing AI: Small Language Models for Real-World Production
Summary In this episode of the AI Engineering Podcast Steven Huels, Vice President of AI Engineering & Product Strategy at Red Hat, talks about the practical applications of small language models (SLMs) for production workloads. He discusse
AI Agents and Identity Management
Summary In this episode of the AI Engineering Podcast Julianna Lamb, co-founder and CTO of Stytch, talks about the complexities of managing identity and authentication in agentic workflows. She explores the evolving landscape of identity ma
Revolutionizing Production Systems: The Resolve AI Approach
Summary In this episode of the AI Engineering Podcast, CEO of Resolve AI Spiros Xanthos shares his insights on building agentic capabilities for operational systems. He discusses the limitations of traditional observability tools and the ne
Designing Scalable AI Systems with FastMCP: Challenges and Innovations
Summary In this episode of the AI Engineering Podcast Jeremiah Lowin, founder and CEO of Prefect Technologies, talks about the FastMCP framework and the design of MCP servers. Jeremiah explains the evolution of FastMCP, from its initial cre
Proactive Monitoring in Heavy Industry: The Role of AI and Human Curiosity
Summary In this episode of the AI Engineering Podcast Dr. Tara Javidi, CTO of KavAI, talks about developing AI systems for proactive monitoring in heavy industry. Dr. Javidi shares her background in mathematics and information theory, influ
Navigating the AI Landscape: Challenges and Innovations in Retail
Summary In this episode of the AI Engineering Podcast machine learning engineer Shashank Kapadia explores the transformative role of generative AI in retail. Shashank shares his journey from an engineering background to becoming a key playe
The Anti-CRM CRM: How Spiro Uses AI to Transform Sales
Summary In this episode of the AI Engineering podcast Adam Honig, founder of Spiro AI, about using AI to automate CRM systems, particularly in the manufacturing sector. Adam shares his journey from running a consulting company focused on Sa
Unlocking AI Potential with AMD's ROCm Stack
Summary In this episode of the AI Engineering podcast Anush Elangovan, VP of AI software at AMD, discusses the strategic integration of software and hardware at AMD. He emphasizes the open-source nature of their software, fostering innovati
Applying AI To The Construction Industry At Buildots
Summary In this episode of the Machine Learning Podcast Ori Silberberg, VP of Engineering at Buildots, talks about transforming the construction industry with AI. Ori shares how Buildots uses computer vision and AI to optimize construction
The Future of AI Systems: Open Models and Infrastructure Challenges
Summary In this episode of the AI Engineering Podcast Jamie De Guerre, founding SVP of product at Together.ai, explores the role of open models in the AI economy. As a veteran of the AI industry, including his time leading product marketing
