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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
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.

PublishesWeeklyEpisodes68Founded3 years ago
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TechnologyEducation

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Artwork for AI Engineering Podcast

Latest Episodes

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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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 healthcare. Dan sh... more

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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 agentic mode... more

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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 organizati... more

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Recent Guests

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
Dr. Tara Javidi
A researcher working at the intersection of information theory and generative AI.
KavAI
Episode: Proactive Monitoring in Heavy Industry: The Role of AI and Human Curiosity
Shashank Kapadia
Machine Learning Engineer with nearly 10 years of experience in the domain working from small companies to Fortune 500s.
Walmart
Episode: Navigating the AI Landscape: Challenges and Innovations in Retail
Adam Honig
Founder of Spiro AI, known for transforming CRM with AI solutions
Spiro AI
Episode: The Anti-CRM CRM: How Spiro Uses AI to Transform Sales

Host

Tobias Macey
Host of the show, Tobias Macey, brings a wealth of experience in AI engineering and software development, guiding discussions aimed at demystifying complex AI technologies and their applications.

Reviews

4.6 out of 5 stars from 22 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, often praising the host's expertise in AI and data-related topics. There is general consensus that the podcast effectively bridges the gap between complex technical concepts and practical applications in the industry. Some reviews indicate a high level of satisfaction regarding the quality of discussions and the expertise of guests.

Chart Rankings

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

Apple Podcasts
#233
United States/Technology
Apple Podcasts
#216
United Kingdom/Technology
Apple Podcasts
#102
Sweden/Technology
Apple Podcasts
#137
Israel/Technology
Apple Podcasts
#154
South Korea/Technology
Apple Podcasts
#172
Poland/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
From Probabilistic to Trustworthy: Building Orion, an Agentic Analytics Platform
Q: How did you get started in ML and AI?
I was hired as a data analyst and built an algorithm for mortgage modification based on data analysis.
Building Production-Ready AI Agents with Pydantic AI
Q: What are your plans for the near to medium term?
We plan to add support for embedding, durable execution, and improve documentation.

Audience Metrics

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

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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?

Focusing on the nuances of building scalable and maintainable AI systems, episodes explore various technical frameworks, applications, and strategies for effectively integrating artificial intelligence into business operations. Discussions range from innovative tools for AI engineers, including developer frameworks and observability solutions, to the implementation challenges found in sectors such as retail and construction. The podcast features expert guests from prominent technology firms, providing insights into the complexities of AI development and the practical implications for businesses seeking to adapt and grow through AI technologies.

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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. Software Engineering Daily
4. AI + a16z
5. NVIDIA AI Podcast

How many episodes of AI Engineering Podcast are there?

AI Engineering Podcast launched 3 years ago and published 68 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact AI Engineering Podcast?

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What guests have appeared on AI Engineering Podcast?

Recent guests on AI Engineering Podcast include:

1. Daniel Sodickson
2. Andrew Filev
3. Samuel Colvin
4. Brijesh Tripathi
5. Spiros Xanthos
6. Jeremiah Lowin
7. Dr. Tara Javidi
8. Shashank Kapadia

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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