How to Build an AI Career Before the Job Exists | Lazar Jovanovic, Lovable

AI is lowering the barrier to building software.

But it is not lowering the bar for initiative, judgment, or solving real problems.

In this episode of Drag & Drop, Feroz Khan sits down with Lazar Jovanovic, the first Vibe Coding Engineer at Lovable, to discuss how he went from a non-technical background to building software at one of the fastest-growing AI companies globally.

Lazar shares how building in public, learning by doing, and solving real problems helped him create an opportunity before the role even existed.

They also explore how AI is changing who can build software, why generalists have an advantage, and what enterprises need to do to enable more employee-led innovation without creating a new generation of application silos.

In this episode, you’ll learn:

➤ How Lazar became Lovable’s first Vibe Coding Engineer
➤ Why generalists have an AI advantage
➤ How building in public creates opportunity
➤ Why “vibe coding” has moved beyond prototypes
➤ How AI is changing the build versus buy decision
➤ How a $1 million tool can be built for less than $5,000
➤ Why people closest to the problem can now build the solution
➤ How enterprises can prevent AI sprawl
➤ Where to start if you want to build an AI role inside your organization
➤ Why good judgment will matter more than raw effort

Tell us what you loved about this Episode.

Website: itracusa.com
Contact: Feroz Khan

🎙️ This episode is brought to you by ITRAC.

ITRAC helps organizations build Enterprise AI capability.

We support enterprise teams through:

• Specialist AI & OutSystems Talent
• Enterprise AI Training & Enablement
• OutSystems Training & Solutions
• Enterprise AI Community

From developing your existing teams to finding specialist talent, ITRAC helps organizations build the skills and capability needed to adopt AI effectively.

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