Staging environment
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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

Aurimas Griciūnas

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

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