Free Lesson
Building Real AI Engineering Experience
Part of AI Engineering in Practice: Role, Skills, Industry Reality.
45 min
Feb 25, 2026 11:00 AM
Virtual (Zoom)
In this video
What you'll learn
Identify Experience Gaps in AI Engineering
Learn which parts of the AI lifecycle are most often missing from candidate experience.
Build Systems That Expose Real Trade-Offs
Understand how to create projects that surface constraints, failures, and engineering decisions.
Make System Work Reviewable by Hiring Teams
Learn how to present system architecture, evaluation, and iteration in a way that can be assessed.
Why this topic matters
Most AI engineers struggle to get hired not because they lack knowledge, but because they lack evidence of owning real systems. Hiring teams look for work that shows decisions, constraints, and failure handling. This topic matters because it explains how to build and present experience that can actually be evaluated and trusted.
You'll learn from

Aurimas Griciūnas
Founder & CEO @ SwirlAI | Former CPO @ Neptune.ai (acquired by OpenAI)
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