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Artwork for AI Engineering Podcast

AI Engineering Podcast

Tobias Macey
Machine Learning
Generative AI
Artificial Intelligence
Large Language Models
Software Development
Code Generation
Program Synthesis
Tabnine
Data Quality
Feature Engineering
Data Privacy
Test Generation
Relational AI
AI Pipelines
Pieces
Kubernetes
Knowledge Graphs
Natural Language Processing
Code Review
Data Management

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.

PublishesWeeklyEpisodes79Founded4 years ago
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EducationTechnology

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Artwork for AI Engineering Podcast

Latest Episodes

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 how gove... more

YouTube

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, including opaqu... more

YouTube

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 rich non... more

YouTube

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 GPU clou... more

YouTube

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Recent Guests

Stephen Watt
Leads the Office of the CTO at Red Hat, focusing on generative AI and emerging technologies
Red Hat
Episode: Kubernetes, Compliance, and Control: The Operational Backbone of AI Sovereignty
Carter Huffman
CTO and co-founder at Modulate, specializing in proactive voice analysis and frontier Voice AI
Modulate
Episode: Taming Voice Complexity with Dynamic Ensembles at Modulate
Hugo Shi
Co-founder and CTO of Saturn Cloud; expert in GPU cloud services
Saturn Cloud
Episode: GPU Clouds, Aggregators, and the New Economics of AI Compute
Niklas Gustavsson
Chief Architect at Spotify
Spotify
Episode: The Future of Dev Experience: Spotify’s Playbook for Organization‑Scale AI
Joe Devon
Co-founder of Global Accessibility Awareness Day
Episode: Generative AI Meets Accessibility: Benchmarks, Breakthroughs, and Blind Spots with Joe Devon
Preeti Shukla
A product and engineering leader with 20 years building and scaling B2B and enterprise-grade products, mostly SaaS products.
Episode: Beyond the Chatbot: Practical Frameworks for Agentic Capabilities in SaaS
Craig McLuckie
Founder and CEO of Stacklok, previously involved with Google Compute Engine and Kubernetes.
Stacklok
Episode: MCP as the API for AI‑Native Systems: Security, Orchestration, and Scale
Vinay Kumar
Founder and CEO of Arya.AI, specializing in AI interpretability and alignment.
Arya.AI
Episode: Inside the Black Box: Neuron-Level Control and Safer LLMs
Guillaume de Saint Marc
Vice President of Engineering at Cisco's Outshift team
Cisco
Episode: Building the Internet of Agents: Identity, Observability, and Open Protocols

Host

Tobias Macey
Host of the AI Engineering Podcast, focusing on the practical and operational aspects of building AI systems and applications.

Reviews

4.6 out of 5 stars from 24 ratings
  • Practical AI

    Is the title.

    How much clearer could Tobias be?

    What is with the 1 Star review?

    Tobias always makes expectations clear and delivers in a way that only somebody who has made his living in the trenches of data, AI, and Python.

    Apple Podcasts
    5
    accidentalguru
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the clarity and practical insights provided by the host, emphasizing the effective communication style that caters to both technical and non-technical audiences.
Many find the content relevant to their professional needs, particularly in understanding complex AI concepts and workflows.
There is occasional criticism from a few about mismatched expectations, but overall feedback showcases a positive reception towards the educational and insightful nature of discussions.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#219
United Kingdom/Technology
Apple Podcasts
#102
Israel/Technology
Apple Podcasts
#156
Ireland/Technology
Apple Podcasts
#250
New Zealand/Technology

Talking Points

Recent interactions between the hosts and their guests.

Taming Voice Complexity with Dynamic Ensembles at Modulate
Q: How do you validate the overall functionality of the system as well as isolated validation of those sub-models?
The added complexity necessitates monitoring outputs and ensuring that related outputs, like sentiment and emotion, correlate well.
Taming Voice Complexity with Dynamic Ensembles at Modulate
Q: What are some challenges specific to Voice AI?
The two main constraints are cost and the processing power required to analyze complex audio data.
Taming Voice Complexity with Dynamic Ensembles at Modulate
Q: What do you mean by that term, Voice AI?
Voice AI refers to machine learning models built towards understanding and producing human voice signals.
Taming Voice Complexity with Dynamic Ensembles at Modulate
Q: Can you start by introducing yourself?
I'm Carter Huffman, the CTO and co-founder over at Modulate.
From Blind Spots to Observability: Operationalizing LLM Apps with OpenLit
Q: What are some of the sharp edges and blind spots that you still see people running up against?
Two major blind spots are related to memory usage and context management, which can lead to ineffective AI responses.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Location
Interests
Professions
Age Range
Household Income
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Frequently Asked Questions About AI Engineering Podcast

What is AI Engineering Podcast about and what kind of topics does it cover?

Content across episodes focuses primarily on the operational frameworks and architectural considerations necessary for developing scalable AI systems. Discussions typically include topics such as AI sovereignty, compliance, development workflows, and the integration of generative AI into various applications. Unique insights from industry experts shed light on challenges faced by organizations in adapting their infrastructures to accommodate machine learning workloads effectively. The podcast also emphasizes the importance of accessibility in technology, showcasing how AI can enhance user experiences for individuals with disabilities. Overall, it serves as a comprehensive resource for professionals looking to deepen their understanding of A... more

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Which podcasts are similar to AI Engineering Podcast?

These podcasts share a similar audience with AI Engineering Podcast:

1. Practical AI
2. The AI Daily Brief: Artificial Intelligence News and Analysis
3. The a16z Show
4. Dwarkesh Podcast
5. Odd Lots

How many episodes of AI Engineering Podcast are there?

AI Engineering Podcast launched 4 years ago and published 79 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on AI Engineering Podcast?

Recent guests on AI Engineering Podcast include:

1. Stephen Watt
2. Carter Huffman
3. Hugo Shi
4. Niklas Gustavsson
5. Joe Devon
6. Preeti Shukla
7. Craig McLuckie
8. Vinay Kumar

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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