AI Engineers: The Illusion of Experience in an Emerging Profession

An Obsolete Recruitment Approach

Companies looking to hire artificial intelligence (AI) engineers often make the mistake of applying traditional recruitment criteria. They demand years of experience, degrees from prestigious schools, and mastery of well-established technologies, without considering the specificity of a field as recent as generative AI. Yet, the most promising candidates are often between 22 and 24 years old, a fact that is not coincidental.

A Still Young Profession

Generative AI truly took off with the launch of ChatGPT in November 2022. Before that, concepts like language models (LLMs), agents, and AI workflows were not yet developed. In less than 36 months, these technologies have transformed the technological landscape. A study by Revelio Labs, which analyzed over 400,000 tech job postings published in 2023, reveals that one-third of these postings require experience with generative AI tools that have only recently emerged. This highlights a glaring inconsistency: recruiting for the future with criteria from the past, in a sector that had no precedent.

In any other sector, three years is the time it takes to complete a university cycle. Here, it represents the age of the entire profession.

The Skills of New AI Engineers

Today's AI engineers stand out for their innovative approach. They prioritize workflows over traditional functionalities, using LLMs to code, test, and iterate in real time. They develop agents capable of managing complex tasks autonomously and know how to connect models to internal data sources, create adaptable pipelines, and identify where a model might hallucinate even before testing it. Their ability to quickly evaluate new models is also a major asset. When a new model is launched, they can test it on their real use cases in just a few hours.

A Natural Ease with Interfaces

These engineers possess an innate ease with conversational interfaces, which translates into increased productivity. They master the art of instinctively rephrasing and iterating on previous results, significantly speeding up their work. Their ability to quickly adapt to new tools, such as transitioning from ChatGPT to Claude, demonstrates their flexibility and understanding of conversational interfaces. For them, a dialogue box or a natural language exchange presents no friction, as it is the mode of interaction they have always known.

AI Compensates for Lack of Professional Maturity

Although these young engineers may lack rigor in certain traditional professional aspects, AI largely compensates for these shortcomings. AI tools allow for rephrasing emails, structuring deliverables, and correcting English errors, thus eliminating potential flaws. What remains, once these gaps are filled, is their true added value: speed, product intuition, the ability to juggle ten tools seamlessly, and an agility that is worth far more than twenty years of experience for someone resistant to these technologies.

Rethinking Recruitment Criteria

Companies have a unique opportunity to gain a competitive edge by integrating these new profiles. Recruitment criteria must evolve to value the ability to think in terms of workflows and agents, to iterate quickly, and to adapt to technological changes. The companies that succeed in AI are not those with the biggest budgets, but those that understand the importance of recruiting for a rapidly evolving profession. Models are available to everyone, but the skill to think with these models cannot be purchased with a click. Companies that integrate these profiles today are building a lead that will be very difficult to catch up with in eighteen months.