Defining the AI Engineer Role

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Defining the AI Engineer Role

Hosted by Alexey Grigorev

Tue, Feb 24, 2026

4:00 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

Free to join

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AI Engineering Buildcamp: From RAG to Agents

Alexey Grigorev

View syllabus

Tue, Feb 24, 2026

4:00 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

Free to join

492 students

Invite your network

Go deeper with a course

AI Engineering Buildcamp: From RAG to Agents

Alexey Grigorev

View syllabus

What you'll learn

Identify Real-World Job Requirements

Understand core expectations by analyzing trends from 1500+ current job descriptions and industry research.

Distinguish Technical Skill Sets

Learn to differentiate between research-based AI roles and the product-focused engineering skills needed today.

Execute an AI Engineering Workflow

Apply theoretical concepts through a live demo of the typical daily tasks and technical handoffs in the role.

Why this topic matters

The AI field is evolving so fast that job titles are often inconsistent. By analyzing 1500+ roles and community insights, this lesson cuts through the hype to show you exactly what companies are hiring for right now. You will gain clarity on your career path, ensuring your skills align with market demand so you can transition from simply "using AI" to building professional-grade AI products.

You'll learn from

Alexey Grigorev

Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide

Founder of DataTalks.Club · Creator of the Zoomcamp Series · ML Engineer & Author

Alexey Grigorev is the founder of DataTalks.Club and the creator of the popular Zoomcamp series. With 15 years of experience in software engineering and over 12 years in machine learning, he has built and deployed large-scale ML systems at companies like OLX Group and Simplaex.

An advocate for practical, hands-on education, Alexey has taught over 100,000 students, focusing on a code-first approach to help learners build real-world skills.

In the past, he was an active participant in data science competitions. A Kaggle Master, Alexey has achieved top rankings in several challenges, including 1st place in the NIPS'17 Criteo Challenge and 2nd place in the WSDM Cup 2017: Vandalism Detection.

He is also the author of several technical books, including the widely read Machine Learning Bookcamp.

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