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Artwork for AI Engineering Podcast

AI Engineering Podcast

Tobias Macey
Machine Learning
Generative AI
Artificial Intelligence
Large Language Models
Code Generation
Software Development
Tabnine
Program Synthesis
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.

PublishesWeeklyEpisodes78Founded4 years ago
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Artwork for AI Engineering Podcast

Latest Episodes

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

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 adoption... more

YouTube

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Recent Guests

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
Will Vincent
Python Developer Advocate at JetBrains with a long background in web development with Django.
JetBrains
Episode: Agents, IDEs, and the Blast Radius: Practical AI for Software Engineers

Host

Tobias Macey
Host of the AI Engineering Podcast, with expertise in various aspects of AI system development and machine learning implementation.

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.

Reviews indicate that episodes effectively communicate complex AI concepts, making them accessible to a broader audience.
Listeners appreciate the clarity and practical insights provided by the host, often highlighting the relevance and thoroughness of the discussions.

Chart Rankings

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

Apple Podcasts
#182
United States/Technology
Apple Podcasts
#202
Italy/Technology
Apple Podcasts
#126
India/Technology
Apple Podcasts
#136
Israel/Technology
Apple Podcasts
#179
Ireland/Technology
Apple Podcasts
#197
Spain/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.

Listeners per Episode
Gender Skew
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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?

Focused on the intricacies of creating scalable and maintainable artificial intelligence systems, this podcast serves as a comprehensive guide for professionals seeking to implement AI effectively in their work. It covers a wide range of topics, including the architectural considerations necessary for developing AI applications and the methodologies for customizing models to meet specific needs. Notable discussions highlight current trends in AI technology and the integration of AI with various aspects of software development processes, making it a rich resource for both beginners and seasoned practitioners in the field of AI engineering. The blend of expert insights and practical advice ensures that listeners gain valuable knowledge applic... 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. NVIDIA AI Podcast
3. This Day in AI Podcast
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. Big Technology Podcast

How many episodes of AI Engineering Podcast are there?

AI Engineering Podcast launched 4 years ago and published 78 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. Carter Huffman
2. Hugo Shi
3. Niklas Gustavsson
4. Joe Devon
5. Preeti Shukla
6. Craig McLuckie
7. Vinay Kumar
8. Guillaume de Saint Marc

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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