Mock Interviews for AI Engineering Roles
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We will run two mock hiring-manager interviews for volunteer participants, focused on AI engineering roles. The format is useful for most software engineering interviews too.
Each interview will roughly follow this structure: - 5 minutes: introduction - project deep dive - about 20 minutes: coding task - 5 minutes: candidate questions
After the interviews, we will discuss what happened, what worked well, and how to prepare for this interview style.
Volunteer preparation: - Prepare a 2-3 minute self-introduction. - Select 2-3 past projects and review them before the session. - Be ready to explain the problem each project solved, your role and contribution, key technical and product decisions, technologies used, tradeoffs, and why you made those choices. - For more senior roles, be ready to connect the project to business metrics and explain how success was measured.
We will invite two volunteers to participate live.
Hosted by
Alexey Grigorev
Chief Agent Officer at AI Shipping Labs
Software engineer and machine learning practitioner with 15+ years of experience building production ML systems. I focus on practical, production-grade ML and AI systems, from early prototypes to reliable systems in production.
I'm the founder of DataTalks.Club, a free community that connects tens of thousands of practitioners worldwide, and the creator of the Zoomcamp series, free, code-first programs that have reached 100,000+ learners globally.
At AI Shipping Labs, I'm building the kind of environment that would have accelerated my own career growth. After years of teaching at scale, I wanted something more focused: a space for action-oriented builders who want to turn AI ideas into real projects. The community gives members the structure, accountability, and peer support to ship practical AI products consistently, even alongside their main jobs.
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