Artificial Intelligence AI Agents Generative AI Software Services

Understand the AI Engineer's Tech Stack

Alex Ker, Applied AI Engineer at Baseten, breaks down the modern AI engineer’s tech stack.

Alex Ker

2026년 2월 25일

무료 계정 만들기

실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

슬라이드 보기 ↗

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, Applied AI Engineer at Baseten, breaks 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.

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.

Session Resources + Slides