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The AI Engineer’s Dilemma: Mastery or Versatility? | The Pair Program Ep37
Join us in this episode as we dive deep into the world of artificial intelligence through the eyes of two industry leaders. In this episode, we’re joined by Maggie Engler, a Technical Staff member at Inflection AI, and Andrew Gamino-Cheong, the CTO and Co-Founder of Trustible.
Maggie and Andrew share their first-hand experiences of working in the AI engineering space, offering insights into the challenges and innovations that shape their daily lives. They explore the critical question of whether AI engineers should strive to be jacks of all trades or masters of one specific skill, shedding light on the diverse skillsets demanded by this dynamic field.
But that’s not all – this episode also delves into one of the hottest topics surrounding AI: ethics. Maggie and Andrew engage in a thought-provoking discussion about how AI should be used, the ethical dilemmas faced by engineers, and the inherent limitations in AI’s application.
About the guests:
-Maggie Engler is a technologist and researcher focused on mitigating abuse in the online ecosystem. She currently works on safety for large language models at Inflection AI.
-Andrew has spent his career working at the intersection of policy and AI. Prior to founding Trustible, Andrew was a machine learning engineering tech led at FiscalNote. Now, at Trustible, he’s flipped the script and is working to apply policy to the AI landscape.
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