CIQ expands senior engineer hiring as AI writes over 90% of code

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CIQ expands senior hiring

Highlights

CIQ president Bjorn Hovland states AI now writes over 90% of the company's code, yet demand for senior engineers has risen.
CIQ almost exclusively hires programmers with five to ten years of experience, citing the critical need for human oversight of AI-generated code for major enterprise and government clients.
Company founder Gregory Kurtzer reports using AI to build a Linux-compatible operating system kernel in 11 days, highlighting increased productivity for engineers adept with AI tools.

AI-driven development reshapes hiring needs

As reported by Business Insider, CIQ president Bjorn Hovland says AI now writes more than 90% of the code at the company, which helps businesses run complex computing systems. He says that result does not reduce the need for engineers, and instead leaves the company struggling to recruit enough experienced staff.

Hovland says his earlier expectation was that AI might eventually remove the need to hire more engineers, but that the opposite has happened. CIQ is largely seeking seasoned programmers rather than entry-level candidates, and he says the company hires almost no junior developers, with recent recruits typically bringing five to 10 years of experience.

The company argues that while AI can generate large volumes of software quickly, human oversight remains critical to determine whether that code works properly. That requirement carries added weight because CIQ's customers include major companies and governments, where failures in software reliability can have broader operational consequences.

CIQ founder Gregory Kurtzer gives a further example of the technology's reach, saying he used AI to build a Linux-compatible operating system kernel in 11 days. He says experienced engineers who adopt AI can become far more productive, while developers who resist the tools risk falling behind.

Pressure on the software career pipeline

The hiring pattern outlined by CIQ points to a broader tension in the software sector. If AI handles more basic coding work and companies cut back on junior hiring, the traditional path for training the next generation of senior engineers may become harder to sustain.

That dynamic is not limited to programming. The discussion at the Salt Lake City event suggests that across knowledge work, including software and media, the growing premium is on deciding what to build and judging the quality of machine-generated output rather than performing every manual step.

For younger workers, Hovland's advice is to build personal software projects and learn how systems operate beneath the surface. The implication for the industry is that deep technical understanding may become more valuable even as AI takes over a larger share of routine production.

We have also analyzed Anthropic hiring priorities as the AI firm scales its workforce ahead of a planned IPO.

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