AI Engineering in Mexico – Part 1 (Scaling Tech Podcast Episode 61)

In this episode of the Scaling Tech Podcast, host Arin Sime explores the landscape of AI engineering and adoption in Mexico, recording from Mexico City. He speaks with founders, engineers, and researchers about building real AI applications and the lessons learned in reshaping engineering teams.

Discover how companies are moving past vanity projects to focus on “proof of value” with AI, increasing revenue, and reducing expenses. Hear use cases from traditional industries like civil engineering and healthcare, including how AI is being used to analyze 23 terabytes of data for a major rail project and reduce burnout among doctors.

Topics include:

  • The current state and future of AI adoption in Mexico
  • How an AI-driven recruiter automated 80% of the recruitment process, leading to team expansion, not reduction
  • The importance of thinking about “proof of value” over “proof of concept”
  • Why developers in Latin America are shifting from coders to architects and “prompt engineers”
  • The essential role of the human touch and creativity in the age of AI

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Our Guests:

Thank you to all of these guests who are included in Part 1 of this series. Insights from many of these guests and additional guests will also be included in Part 2. The links to the full interview with each guest are also included below.

Chapters

0:00 – Welcome: Scaling Tech Podcast
0:49 – Series Introduction: AI Engineering Focus in Mexico City
2:24 – AI Adoption is Just Beginning
3:51 – AI in Civil Engineering (Cal y Mayor & the Tren Maya Project)
5:29 – AI in Healthcare (Reducing Burnout for Medical Staff)
7:31 – AI: Augmenting Doctors, Not Replacing Professionals
8:36 – Sponsor Break
9:10 – Most AI Use Cases are Time-Saving Automation
9:50 – AI Functioning as a “Digital Employee”
11:46 – Focus on Value, Not Just Technology
14:32 – Proof of Value vs. Proof of Concept
16:16 – AI Doesn’t Replace, It Reshapes Teams