Understand the AI Engineer's Tech Stack
Key Takeaways:- Learn how AI engineers use different tools across the development lifecycle.
- Understand how to navigate and simplify the rapidly evolving AI software ecosystem.
- Discover best practices for AI engineering and strategies for staying up to date with the latest advancements.
Description
The AI software ecosystem is evolving at a breakneck pace. With new tools, frameworks, and platforms emerging every month, even experienced AI engineers can feel overwhelmed navigating the landscape. Understanding how these tools fit together—and when to use them—is essential for building reliable, scalable AI systems.
In this session, Alex Ker, an Applied AI Engineer at Baseten, will break down the modern AI engineer’s tech stack. You’ll learn which tools are used for data processing, model development, evaluation, deployment, and agentic workflows—and how to choose the right ones for your projects. You’ll also explore best practices for staying current in a fast-changing field and cutting through the noise to focus on what actually matters.
Presenter Bio
Alex is an AI engineer, entrepreneur, and investor. At AI inference platform Baseten, he XXX. Alex is also a Venture Partner at Tower Research Capital, where he invests in early stage companies. He also founded AI project incubator P-ai, where he continues to serve as Chairman. Previously, Alex was a Decision Scientist at LaunchDarkly, an Editor at Stanford HAI, and a Machine Learning Scientist at Neurable.