Exosens is an international high-tech company specializing in advanced imaging and detection technologies.
In an industry where technological innovation increasingly depends on artificial intelligence and advanced image processing, access to highly specialized research expertise can become a major competitive advantage.
Exosens in Leuven, Belgium, was looking for an AI / Computer Vision Algorithm Engineer, a highly specialized position requiring PhD-level expertise to support the development of its next generation of smart cameras.
The challenge? Finding someone with a strong background in artificial intelligence was not enough. The candidate needed research expertise closely aligned with Exosens’ specific technological challenges.
Why this hire was important
Artificial intelligence and computer vision play an increasingly important role in the development of advanced camera technologies.
In simple terms, computer vision enables cameras and imaging systems to interpret and process visual information using sophisticated algorithms.
For Exosens, this meant they were not simply looking for an experienced AI engineer.
They needed a specialist with deep scientific knowledge who could translate the latest developments in AI and computer vision research into practical applications for advanced camera systems.
Securing this expertise was particularly important for a company focused on developing innovative imaging technologies and maintaining its competitive position in a highly specialized market.
The challenge
This was an exceptionally narrow candidate market.
The ideal candidate needed to:
- Bring PhD-level expertise in artificial intelligence or computer vision
- Have a strong background in advanced academic research
- Possess highly specialized knowledge relevant to camera development
- Understand the latest scientific developments in their field
- Be able to translate complex research into practical technological applications
- Have a research specialization closely aligned with Exosens’ specific technical requirements
Only a relatively small group of researchers had the right combination of expertise.
At the same time, AI and computer vision are broad research fields covering many different applications.
A candidate could have an impressive academic background and extensive AI knowledge while still lacking the specific expertise required for Exosens’ camera development challenges.
This made identifying genuinely relevant candidates significantly more difficult than in a conventional AI engineering search.
Our approach and the results
For a highly specialized research-driven position like this, identifying the right technical background was essential.
Rather than focusing on professionals with general AI experience, we concentrated on researchers whose scientific specialization closely matched Exosens’ technical requirements.
Our recruiting strategy combined direct outreach with targeted job advertising to reach highly qualified talent within university research environments.
The goal was not simply to generate a large number of applications, but to identify specialists working at the forefront of relevant AI and computer vision research.
✅ Targeted outreach to PhD-level researchers
We focused our direct sourcing activities on researchers with advanced academic backgrounds and specialized expertise in AI and computer vision.
By looking closely at candidates’ research specializations, we were able to distinguish between general AI profiles and researchers whose knowledge was relevant to Exosens’ next-generation smart camera development.
This helped us concentrate our efforts on a much smaller, highly relevant talent pool.
✅ Specialized job advertising
Alongside direct outreach, we used targeted job advertising to increase visibility among highly qualified researchers.
This combined approach allowed us to reach candidates through multiple channels while maintaining a strong focus on the specialized technical requirements of the position.
Rather than attracting broad AI profiles, our recruitment efforts were designed to connect Exosens with the specific research expertise it needed.
First candidates presented within just 5 days
Despite the exceptionally narrow candidate market, we were able to introduce the first candidates to Exosens within just five days.
This was particularly significant given the level of scientific specialization required for the position.
Instead of spending weeks searching through general AI profiles, the hiring team could begin evaluating candidates with relevant expertise at a very early stage of the recruitment process.
The search demonstrated how a focused recruiting strategy can quickly create access to highly specialized talent, even in technically demanding research fields.
The Result: Securing specialized AI expertise for next-generation cameras
Exosens successfully hired an AI / Computer Vision Algorithm Engineer with the specialized research background required to support its future camera development.
The successful hire brought valuable scientific expertise into the organization, strengthening its ability to translate the latest advances in artificial intelligence and computer vision into innovative camera capabilities.
For the client, this meant securing expertise that could directly contribute to the development of its next generation of smart cameras.
By combining highly targeted outreach with specialized job advertising, we helped Exosens access a narrow research talent pool and identify candidates who matched its specific technological needs.
The result was not simply a filled position, but an important addition to the company’s research and development capabilities.
Conclusion: Recruiting highly specialized AI and computer vision talent
Recruiting AI and computer vision specialists requires a different approach when the role demands expertise at the forefront of scientific research.
While the general AI talent market may appear large, the number of professionals with the right research specialization for a particular technological application can be extremely limited.
For Exosens, understanding this distinction was essential.
By combining targeted outreach to PhD-level researchers with specialized job advertising, we were able to identify relevant candidates and present the first profiles within just five days.
The successful hire now supports Exosens in advancing its smart camera technologies and translating cutting-edge research into product innovation.
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