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Artificial Intelligence Developer Hiring Trends in Karlsruhe, Germany

This report was last updated on May 31, 2025

Bence Gedai / Founder

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

  • The Artificial Intelligence job market in Germany, specifically in Karlsruhe, has shown a moderate fluctuation in new job openings over the past three months, with a total of nine openings and increasingly competitive hiring conditions.
  • Key technologies sought by employers include Python, Machine Learning, and SQL, underscoring the importance of technical proficiencies for prospective Artificial Intelligence Engineers in the region.
  • Current statistics reveal 39% of job openings are classified as internships, while there is a notable need for Senior Artificial Intelligence Developers with 28% of roles at the Mid-Senior level, emphasizing targeted recruitment strategies.
  • Major cities such as Berlin (62%), Munich (37%), and Hamburg (14%) dominate the Artificial Intelligence Engineer job market in Germany, highlighting potential hotspots for recruitment efforts.
  • With a median time to hire of 32 days for Artificial Intelligence Engineer roles, hiring managers must adapt their recruitment strategies to meet the competitive demands of the market.
Number of roles opened and closed for Artificial Intelligence Engineers in Karlsruhe in the last 3 months

Number of roles opened and closed for Artificial Intelligence Engineers in Karlsruhe in the last 3 months

In the past 12 weeks, the Artificial Intelligence job market in Germany Karlsruhe has shown a moderate fluctuation in new job openings. Notably, during week 13, five new positions were posted, but this number significantly dropped to just one in week 14. With a total of nine openings recorded over the period, the recruitment landscape indicates a tightening, evidenced by the higher job closure rates, peaking at four closed roles in week 12. In comparison, other roles within Germany or across Europe have maintained a steadier flow of opportunities, suggesting that Artificial Intelligence Engineer roles are becoming increasingly competitive. Hiring managers, including CTOs and Engineering Managers, should consider these trends when devising recruitment strategies relevant to the growing need for AI expertise in the expanding tech sector.

Who else is hiring for ai Engineers in Germany:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 14
Deloitte logo Deloitte United States Management Consulting 1845 10
adesso SE logo adesso SE Germany Information Technology & Services 1997 8
Miltenyi Biotec logo Miltenyi Biotec Germany Research 1989 7
CGI logo CGI Canada Information Technology & Services 1976 6
Constructor Knowledge logo Constructor Knowledge Switzerland Higher Education null 6
Capgemini logo Capgemini France Management Consulting 1967 5
Diehl Defence logo Diehl Defence Germany Defense & Space 1902 5
Taktile logo Taktile United States of America Software Development null 5
ORDIX AG logo ORDIX AG United States Information Technology & Services 1990 4

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Talent pool vs job openings for Artificial Intelligence Engineers in Germany

How competitive it is to hire Artificial Intelligence Engineers in Germany

The job market for Artificial Intelligence Engineers across Europe showcases a competitive landscape, where demand often outweighs the available talent pool. In Germany, particularly in Karlsruhe, the reported job openings indicate a challenging environment for hiring managers. The ratio of talent pool to job openings reveals that for every open position, there is a constrained supply of qualified candidates. Comparatively, countries like France, the United Kingdom, and Poland exhibit similar trends, with varying degrees of difficulty in acquiring top talent. These insights underscore the need for strategic recruitment initiatives, especially for CTOs and hiring managers looking to secure leading talent in Germany's burgeoning tech sector.

Seniority distribution of Artificial Intelligence Engineer job openings in Karlsruhe

Seniority Distribution of Artificial Intelligence Engineering Jobs in Karlsruhe

In the Artificial Intelligence job market in Germany Karlsruhe, the seniority distribution reveals significant insights for hiring managers. Currently, 39% of positions are classified as Internship roles, while 28% are at the Mid-Senior level, and 26% are Entry level. This distribution emphasizes the need for targeted recruitment strategies to attract experienced talent, particularly as the demand for Senior Artificial Intelligence Developers continues to grow.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In the German engineering job market, the majority of positions are full-time, accounting for 97% of available roles. Part-time positions represent 4%, while internships contribute to approximately 2% of the employment types available. Understanding this distribution is crucial for hiring managers seeking to attract top talent in a competitive landscape.

Time to Hire Distribution for Artificial Intelligence in Germany

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Engineer roles in Germany reflects significant variation, with 239 positions filled within a 25-day timeframe, showcasing a competitive market. The most common hiring period appears to be around 30 days, with 330 placements, indicating a standard project timeline for recruiters. Positions filled between 35 to 40 days have a noticeable count of 102, suggesting potential challenges in sourcing suitable candidates. Employers aiming to attract top talent should consider the recruitment strategies that align with this time frame to optimize their hiring processes. As hiring trends evolve, understanding these timeframes will be essential for CTOs and hiring managers looking to secure skilled Artificial Intelligence Developers in Germany, particularly in regions like Karlsruhe.

Expolore reports from other European Developer talent pools

Most popular cities in Germany to hire Artificial Intelligence Engineers

Top 5 cities in Germany to hire Artificial Intelligence Engineers

The distribution of Artificial Intelligence Engineer job openings in Germany indicates a strong concentration in major cities. Berlin leads the way with 62% of the total job market, followed by Munich at 37%, and Hamburg, which accounts for 14%. This data emphasizes the importance of Berlin as a key hub for Artificial Intelligence job opportunities, as highlighted in the accompanying chart.

Most sought after technologies in Karlsruhe for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the rapidly evolving AI job market in Germany, particularly in Karlsruhe, several technologies stand out due to their frequency of usage among employers. The most utilized technology is Python, with a substantial frequency of 13,232, underpinning its dominance in AI development. Following closely is Machine Learning, present in 7,567 instances, reflecting the essential role of machine learning techniques in AI solutions. SQL also plays a critical role, appearing 5,642 times, demonstrating its importance in data management within AI projects. Other noteworthy mentions include AI itself, with a frequency of 5,098, and Data Analysis at 3,674, highlighting the comprehensive data-driven approach needed in AI applications. For a visual representation of these technologies and their market presence, please refer to the accompanying chart.

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