Tech job postings are down 36% from pre-pandemic levels, yet 87% of tech leaders still can't find the engineers they need. The market hasn't collapsed — it has split into two very different realities.
Something feels off about today's engineering job market — and the data confirms it. Layoffs are everywhere in the headlines, yet companies still say they can't hire the engineers they need. Both things are true. The market hasn't collapsed; it has split, and where you land in that divide determines almost everything about your hiring prospects or career trajectory right now.
The Contraction Is Real — But It's Selective
Tech job postings are down 36% from their pre-pandemic level as of mid-2025, according to Indeed Hiring Lab. Software engineer postings — still the most common tech title — have fallen 49%. At least 127,000 US-based tech workers were laid off in mass cuts across 2025, with July alone adding 16,327 more, per TechCrunch's tracker. The headline numbers look bleak.
But the contraction is concentrated at the bottom of the experience curve. Programmer employment fell 27.5% between 2023 and 2025, per BLS data — Hugo Malan, president of the science, engineering, technology, and telecom unit at Kelly Services, called it "a tectonic shift." Entry-level coding roles have been hit hardest; the jobs disappearing are precisely those where AI coding tools have automated the most repetitive work.
That contraction coexists with a striking shortage at the other end of the market. Robert Half found that 87% of tech leaders face difficulty finding skilled workers, and 45% of hiring managers cite a lack of skilled applicants as their top challenge (Indeed). The paradox resolves once you see both halves clearly.
The Senior + AI-Fluent Tier Is a Seller's Market
The skills hierarchy in engineering has inverted sharply. In 2022, roughly 60% of engineering hire requests were for mid-level developers and 30% for senior engineers. By 2024, those ratios had flipped — 25% mid-level, 65% senior, with the remainder being AI specialists, per data from Second Talent.
| Hire-request type | 2022 share | 2024 share |
|---|---|---|
| Mid-level developers | ~60% | ~25% |
| Senior engineers | ~30% | ~65% |
| AI specialists | ~10% | ~10% |
The drivers are structural. AI-augmented software development jobs have grown by nearly 600% over the past five years, while traditional developer roles grew just 28% in the same window. Generative AI job postings jumped 170% from January 2024 to January 2025 (Indeed Hiring Lab). The Cisco-led AI Workforce Consortium found that 78% of ICT roles now include AI technical skills, and seven of the ten fastest-growing ICT roles are AI-related — including ML engineer, AI risk and governance specialist, and NLP engineer.
Demand for AI governance skills is up 150%; AI ethics skills up 125%. These are no longer niche add-ons — they are table stakes for senior hires at companies integrating AI into production systems.
What This Means for Hiring Managers
The practical implication is that two separate hiring markets now operate in parallel. Posting a generic "software engineer" requisition and waiting for a strong pipeline of senior, AI-capable candidates is a strategy that will fail. Engineers with these profiles are being absorbed quickly — tech unemployment stood at 2.9% in June 2025 (CompTIA) against a national rate of 4.2%, which tells you experienced candidates clear the market fast.
A few adjustments matter most right now:
- Rewrite job descriptions around outcomes and scope of impact, not credential checklists. The candidates you want are evaluating whether the role is worth their time, not whether it matches a certification.
- Move fast. Drawn-out interview loops lose strong candidates to competitors in this bifurcated market.
- Don't conflate layoff volume with available supply. Most of the 127,000+ workers cut in 2025 came from roles being automated or restructured — not the AI-fluent systems thinkers your team actually needs.
One emerging role crystallizes where demand is heading: the forward-deployed engineer — blending software depth with direct client-facing work to put AI into production — has become one of the most-sought profiles of 2025, with companies including Google hiring aggressively for it.
Ryzlink's AI-native bench — 2,500+ engineers placed over 20 years, matched in 48–72 hours — is built precisely for this bifurcated reality: senior, AI-fluent engineers accountable for what ships, not just a filled seat. If your team needs to close a critical hire without a months-long search, that model is worth a conversation.
For Engineers: How to Stay in the Top Tier
The signal for individual engineers is equally clear. The 84% of developers who use AI tools (Stack Overflow 2025 Developer Survey) are not all equally positioned. The ones gaining ground are those who treat AI as a force multiplier on their own judgment — applied to architecture, system design, and AI integration — rather than a shortcut that replaces technical depth.
Practically speaking: prioritize systems thinking and AI integration work over pure syntax fluency; build visible experience with AI-adjacent projects; and target roles with "staff," "principal," or "forward-deployed" in the title — that's where compensation and career leverage are concentrating.
The engineering job market in 2025 is genuinely difficult if you're in the wrong tier. For experienced, AI-capable engineers, the data tells a different story.
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