AI is evolving faster than ever, and the people keeping up with it are the AI Research Engineers. In this episode of the Data Neighbor Podcast, we sit down with Sandi Besen, AI Research Engineer at IBM Research, to unpack what it actually means to live and work on the bleeding edge of AI.Sandi shares what it takes to move from model demos to real systems, why research engineering is becoming one of the most critical jobs in tech, and how she prototypes, evaluates, and ships new agent frameworks at record speed.Connect with the team (tell us which platform sent you!):- Shane Butler: https://linkedin.openinapp.co/b02fe- Sravya Madipalli: https://linkedin.openinapp.co/9be8c- Hai Guan: https://linkedin.openinapp.co/4qi1rConnect with Sandi: https://www.linkedin.com/in/sandibesen/In this episode, you’ll learn about:-What an AI Research Engineer actually does day-to-day-How research engineering bridges AI research and production-Why requirements frameworks help agents stay reliable-The trade-offs between low-code and pro-code approaches-How evals and observability are evolving for agent systems-The human side of working at the frontier of AI

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