Salaries for senior engineers keep climbing even as layoffs make headlines — here is what is actually happening in the software talent market and what it means for your hiring budget.
Over the past few years, we have seen a rising demand for premium software engineering talent. Salaries that seemed aggressive in 2019 became the floor by 2022. And while layoffs at large tech companies grabbed headlines in 2023 and 2024, the underlying pressure on engineering compensation for specialists has not gone away — it has intensified.
Several forces converged at the same time to create the current talent market:
Emerging and complex technologies. Access to large language models like ChatGPT expanded the type of data and machine learning applications that companies could build. Executives began investing in customer analytics, personalized product experiences, and AI-driven workflows — all of which require engineers who understand these systems at a deep level.
Technical talent scarcity. As these solutions began to scale, the pool of technical leaders capable of implementing ML and AI applications shrank relative to demand — or simply demanded significantly higher pay. Senior engineers with relevant experience became genuinely rare, regardless of how many developers the market contained in aggregate.
Increased funding in tech. Venture capital firms invested roughly three times the prior year’s capital in 2021, creating an intense hiring frenzy among VC-backed companies. With nearly unlimited recruiting budgets and equity-heavy compensation packages, these companies set salary anchors that the rest of the market was forced to compete against.
The Great Resignation. During this period, engineers changed jobs at an all-time high. Remote work created new leverage: an engineer no longer had to move cities to take a better offer. Employers found themselves negotiating packages with both prospective and current employees simultaneously, often losing both.
Escalating benefits expectations. Remote work flexibility went from a perk to a baseline expectation. Health coverage, equity, and work schedule flexibility became table stakes — adding meaningful cost beyond base salary that most compensation benchmarks failed to capture.
Fractional hiring: an engagement model in which a senior engineer works embedded in a company’s team on a part-time or project basis — typically 10 to 20 hours per week — delivering the same level of expertise as a full-time senior hire without the associated salary, benefits overhead, or long-term commitment. The arrangement scales up or down based on project needs.
Software architects, CTOs, CIOs, and hands-on technical architects saw the greatest increase in salary — approximately 8.4% in a single year at the peak. But the real story is in the specialized AI and ML roles.
Companies in the United States are paying a much higher salary for engineers with AI expertise, with a median total compensation around $270,000 for a senior engineer with the skills and aptitude needed to be successful in this space. Netflix has paid over $700,000 for top-of-market AI talent. For companies that need to move fast on AI product development, the gap between what they can realistically offer and what the market demands is not a negotiation problem — it is a structural one.
Entry-level AI engineers earn an average of 8.13% more than their non-AI counterparts at the same company and the same seniority level. That premium grows significantly as seniority increases, because the combination of deep AI expertise and the judgment to apply it in production systems is genuinely rare.
As Fraction began addressing the US software developer shortage, the same pattern appeared consistently: companies needed senior technical talent but could not compete on compensation with VC-backed companies and large corporations. The talent existed — it just wasn’t accessible through traditional full-time hiring.
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When companies cannot compete on salary, they typically reach for one of two levers: offshoring to reduce labor costs, or narrowing scope to reduce headcount requirements. Both approaches have real limits.
The more productive reframe is to negotiate on time rather than money. A growing number of companies are hiring senior engineers fractionally — for specific projects or to augment existing staff for quick, on-demand scaling. This model lets a company access the same caliber of engineer that a large tech company employs full-time, without committing to the associated salary, equity, and benefits overhead.
The key is finding the right engineers — not the most available ones. The best fractional engineers are senior professionals who have chosen variety over full-time commitment. They bring the same depth of expertise as a full-time senior hire but work across multiple engagements, making it possible to access them at a cost structure that fits a startup or mid-size company budget.
Offshoring is the most common cost-reduction response to high engineer salaries, and it can work well for defined, stable work — particularly infrastructure maintenance, quality assurance, and well-documented feature work. But for product-critical development, it introduces friction that compounds over time.
The visible costs are lower. The hidden costs are real: communication overhead across time zones, misaligned quality expectations, reduced code ownership and institutional knowledge, and slower iteration cycles. For work involving AI model integration, security-sensitive systems, or fast-changing product requirements, these coordination costs often exceed the apparent savings within 12 to 18 months.
The deeper issue is that the engineers who understand your product most deeply are the ones who built it. When that knowledge lives offshore, decision-making slows, technical debt accumulates in less visible ways, and the company loses the ability to iterate quickly on the things that matter most to growth.
This is part of why specialist roles in software employment are becoming more valuable as AI advances — the kind of judgment that makes the difference between a good AI implementation and a mediocre one cannot be easily distributed across a disconnected offshore team.
The fractional model works because the economics are straightforward on both sides. For the engineer, fractional work offers variety, flexibility, and the ability to work on interesting problems without the administrative overhead of full-time employment. For the company, it provides access to senior expertise at a fraction of the full-time cost — with no benefits overhead, no equity dilution from option grants, and no long-term commitment if the project scope changes.
This is not a new idea, but the software engineering talent market has made it more practical than ever. Engineers who spent years at large companies are choosing fractional arrangements specifically because it lets them do more interesting work and have more control over their time. That supply of experienced, senior engineers — people who have built real products at scale — is growing.
For companies navigating a market where both the overall workforce is shrinking and senior engineer compensation is reaching levels that most budgets cannot sustain, fractional arrangements offer a genuine structural solution rather than a short-term workaround.
Fraction helps companies find and engage software engineers and top technical talent to augment dev teams or take specific projects to the next level — with engineers rigorously vetted from top US companies and placed in roles where their expertise matches the actual project requirements. The goal is not the cheapest option. It is the most effective one.
Praveen Ghanta is a five-time founder and serial entrepreneur. He is the founder of DevHawk.ai, an AI-powered engineering management platform, and Fraction.work, which connects fast-growing companies with top fractional tech and growth marketing talent. Previously, he founded HiddenLevers, a risk analytics platform for wealth management that he bootstrapped from inception to acquisition by Orion Advisor Solutions in 2021, serving thousands of advisors and $600B in assets. He earlier founded SmartWorkGroups, acquired by Intralinks in 2000.
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