Which engineers are in high demand right now?
Summary
Engineers who proactively move into emerging technologies—especially AI infrastructure and inference—are experiencing unprecedented demand. The skill bottleneck has shifted from cloud expertise (5 years ago) to AI infrastructure knowledge, making early movers in these domains highly sought after by startups and tech companies.
Key Takeaways
- High-demand engineers combine three traits: experience at startups or known tech companies, genuine interest in business (product-mindedness), and proactive skill development in emerging tech.
- The critical skill gap has shifted from cloud infrastructure (previous era) to AI inference and infrastructure knowledge. Engineers who built expertise here are now considered specialists.
- Self-directed career moves matter: high-demand engineers 'weasel their way' into new tech at their current companies rather than waiting for job postings, establishing expertise before market demand peaks.
- Product-mindedness as a hiring signal is more valuable than specialized credentials. Engineers who think beyond technical execution and understand business impact command premium demand.
- Early adoption of AI projects (2023-2024) is the equivalent of cloud skills mastery from 2019. Engineers positioning themselves now will have 5+ year demand advantage.
Related topics
Transcript Excerpt
I talk with engineers who are very much in demand just as so maybe more so than before and what these people have is they either work at [music] startups or well-known tech companies. They are interested in the business. They're so-called product minded. They don't stop at borders and by this [clears throat] time when AI came around they just got into it. They somehow weasel their way either at their company saying, "Okay, I'm going to work on this AI project building something on top of AI often AI infra like I will help build this part and now they are actually considered experts in this. Five years ago this was you hired an engineer who knew about cloud and could help you figure out at a startup. Now you're hiring someone who knows about inference and some of these things. And so engine…