Staging environment

Building Real AI Engineering Experience

Hosted by Aurimas Griciūnas

Wed, Feb 25, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

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End-to-End AI Engineering Bootcamp
Aurimas Griciunas
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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)

Aurimas Griciūnas is a recognized AI expert, LinkedIn Top Voice in AI, and the founder of SwirlAI. He previously served as Chief Product Officer at Neptune.ai where he worked closely with top ML teams to scale infrastructure, evaluation, and LLMOps practices across industries. With over a decade of experience at the intersection of data science, machine learning, and software engineering, Aurimas has led AI initiatives in both startups and enterprise environments. His mission is to bridge the gap between hype and reality by teaching engineers how to build systems that work in the real world. Students will benefit from his hands-on knowledge, technical depth, and product-first mindset - gained by solving actual engineering problems.

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