In part two of our Scaling Tech Podcast series on AI engineering in Mexico, recorded in Mexico City, host Arin Sime speaks with founders, engineers, and researchers about building real-world AI applications and the lessons learned in reshaping engineering teams. Guests discuss the strength of technical talent in Mexico and how AI is being used to identify and recruit top candidates. The conversation also explores AI innovation happening across the region, along with best practices for building AI-driven applications. Finally, guests share what leadership teams must do to maximize the value of AI in this new era of software development.
Featured guests discuss:
- *The Reality of the Mexican Talent Pool:* Understanding the difference between the broad developer population and the specific “GCC talent” required for international collaboration.
- *AI-Driven Recruiting and Management:* How local companies are developing their own AI models to identify top talent and analyze workforce synergies.
- *Innovation in LLM Safety and Context:* Ongoing research in Mexico focused on biological principles to reduce hallucinations in AI systems.
- *Localized AI Models:* The development of LLMs specifically trained for Mexican Spanish to account for unique regional dialects and cultural nuances.
- *Transformational Leadership:* Why leaders must move from a maintenance mindset to a transformational one to succeed with AI.
- *The Future of Engineering:* Lessons from the history of graphical programming applied to how AI will reshape, rather than replace, the role of the engineer.
This episode is brought to you by AgilityFeat, providers of technical staffing and software development services in Latin America. Learn more at agilityfeat.com.