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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
Tabnine
Program Synthesis
Feature Engineering
Data Quality
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.

PublishesWeeklyEpisodes71Founded4 years ago
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EducationTechnology

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Artwork for AI Engineering Podcast

Latest Episodes

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 coding agents... more

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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 interpretability a... more

YouTube

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 trust in en... more

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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 "vib... more

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Key Facts

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Recent Guests

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
Daniel Sodickson
Chief of Innovation in the Department of Radiology at NYU Grossman School of Medicine.
NYU Grossman School of Medicine
Episode: From MRI to World Models: How AI Is Changing What We See
Andrew Filev
CEO and founder at ZenCoder
ZenCoder
Episode: Specs, Tests, and Self‑Verification: The Playbook for Agentic Engineering Teams
Samuel Colvin
Creator of the Pydantic Validation Library and runs Pydantic Inc.
Pydantic Inc
Episode: Building Production-Ready AI Agents with Pydantic AI
Brijesh Tripathi
CEO of Flex AI, with experience at Nvidia, Apple, Tesla, and Intel
Flex AI
Episode: From GPUs to Workloads: Flex AI’s Blueprint for Fast, Cost‑Efficient AI
Spiros Xanthos
CEO of Resolve AI, expert in dev tools and observability.
Resolve AI
Episode: Revolutionizing Production Systems: The Resolve AI Approach
Jeremiah Lowin
Founder and CEO of Prefect Technologies, developing tools for AI engineers
Prefect Technologies
Episode: Designing Scalable AI Systems with FastMCP: Challenges and Innovations

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 23 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
#232
United States/Technology
Apple Podcasts
#190
Germany/Technology
Apple Podcasts
#16
Russia/Technology
Apple Podcasts
#147
Israel/Technology
Apple Podcasts
#208
Norway/Technology
Apple Podcasts
#238
South Korea/Technology

Talking Points

Recent interactions between the hosts and their guests.

Building the Internet of Agents: Identity, Observability, and Open Protocols
Q: Can you give your definition and overview about how you think about what constitutes a multi-agent system?
A multi-agent system is a system where multiple agents collaborate to achieve a task or mission.
Agents, IDEs, and the Blast Radius: Practical AI for Software Engineers
Q: Can you introduce yourself?
I'm a Python Developer Advocate at PyCharm JetBrains working on the IDE, and I have a long background in web development with Django.
From MRI to World Models: How AI Is Changing What We See
Q: Can you start by introducing yourself?
I'm Dan, currently the Chief of Innovation in the Department of Radiology at NYU Grossman School of Medicine.
From Probabilistic to Trustworthy: Building Orion, an Agentic Analytics Platform
Q: What roles would be better suited without agentic applications?
Roles requiring consistency and low-latency responses might not be ideal for agentic applications.
From Probabilistic to Trustworthy: Building Orion, an Agentic Analytics Platform
Q: What are the challenges in ensuring accuracy for analytics?
We need to connect Orion to a ground source of truth and refine our checks.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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. Super Data Science: ML & AI Podcast with Jon Krohn
3. This Day in AI Podcast
4. Machine Learning Street Talk (MLST)
5. NVIDIA AI Podcast

How many episodes of AI Engineering Podcast are there?

AI Engineering Podcast launched 4 years ago and published 71 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. Vinay Kumar
2. Guillaume de Saint Marc
3. Will Vincent
4. Daniel Sodickson
5. Andrew Filev
6. Samuel Colvin
7. Brijesh Tripathi
8. Spiros Xanthos

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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