Artificial Intelligence Developer Hiring Trends in Berlin, Germany

This report was last updated on Aug 9, 2025

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 Engineers job market in Germany, particularly in Berlin, reflects a dynamic and competitive environment characterized by significant fluctuations in job openings and closures over the past three months.
In recent weeks, the job market has seen as many as 29 new positions posted in a single week, while closures have reached 24 in a different week, indicating challenges for hiring managers and a need for robust recruitment strategies.
Berlin stands out as the predominant city for Artificial Intelligence job openings in Germany, accounting for 40% of the total market with 1,148 available positions, followed by Munich and Hamburg with 704 and 270 respectively.
The recruitment environment is challenging, as the current talent pool does not adequately meet the high demand for Artificial Intelligence Engineers, highlighting the importance of targeted recruitment strategies for CTOs in Germany's vibrant tech sector.
With a median time to hire of 30 days for Artificial Intelligence Engineers, it is essential for hiring managers to adapt their recruitment approaches to attract the best talent in this competitive landscape.

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

Over the past 12 weeks, the Artificial Intelligence Engineers job market in Germany Berlin has exhibited significant fluctuations. Notably, there was a peak in job openings during week 26, with 29 new positions posted. However, this was juxtaposed with a notable closure rate, particularly in week 21, where 24 jobs were closed, highlighting a challenging retention landscape. In comparison to other tech roles in the region, the volatility in the hiring trends for Artificial Intelligence Developers indicates a competitive market, necessitating robust recruitment strategies for CTOs looking to capitalize on the demand for talent in Germany Berlin's tech sector.

Who else is hiring for ai Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	13
Trimble Inc.	United States	Information Technology & Services	1978	11
adesso SE	Germany	Information Technology & Services	1997	11
Microsoft	United States	Information Technology & Services	1975	11
Deloitte	United States	Management Consulting	1845	10
Thoughtworks	United States	Information Technology & Services	1993	9
Canonical	United Kingdom	Information Technology & Services	2004	6
Autodesk	United States	Information Technology & Services	1982	6
PwC Deutschland	Germany	Management Consulting	1924	6
voize	Germany	Information Technology & Services	2020	6

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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 recruitment landscape for Artificial Intelligence Engineers in Germany, specifically Berlin, displays a challenging situation for hiring managers, with a significant ratio of job openings to the available talent pool. Currently, Germany boasts numerous job openings in this field, yet the talent pool does not proportionately meet the demand, which suggests hiring may be particularly difficult. In comparison, countries like France, the Netherlands, and Spain demonstrate more favorable conditions, with better talent pools relative to their number of job openings. This disparity highlights the need for strategic recruitment approaches by CTOs looking to fill positions in Berlin's highly competitive Artificial Intelligence job market.

Seniority distribution of Artificial Intelligence Engineer job openings in Berlin

Seniority Distribution of Artificial Intelligence Engineering Jobs in Berlin

In the competitive landscape of Artificial Intelligence Engineering jobs in Germany Berlin, the seniority distribution reveals a clear hierarchy. Approximately 57% of positions are classified as Mid-Senior level, while Entry level roles account for 21%. Additionally, Associate positions make up around 10% of the market, reflecting a robust demand for professionals across varying levels of experience.

Preferred employment type for Engineering roles in Germany

In the German software development job market, the predominant employment type for engineering roles is full-time, comprising 94% of available positions. Part-time roles represent 4% of the market, while internships account for approximately 2%. This distribution highlights the strong preference for full-time engagements, which is particularly relevant for hiring managers looking to attract Senior Artificial Intelligence Developers in Germany, especially in key tech hubs like Berlin.

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 positions in Germany reveals significant insights for hiring managers. A predominant number of candidates are hired within the 20 to 30 day range, with 169 and 203 counts respectively. However, 112 candidates are hired at the 10-day mark, indicating a competitive landscape, particularly for high-demand roles in Berlin. Recruitment strategies must adapt to these timelines to attract top talent effectively. As hiring demands evolve, understanding these patterns will be crucial for CTOs and Engineering Managers to remain competitive in the rapidly changing job market.

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Most popular cities in Germany to hire Artificial Intelligence Engineers

Top 5 cities in Germany to hire Artificial Intelligence Engineers

As the capital and a prominent tech hub, Berlin accounts for a significant 40% of the total Artificial Intelligence Engineers job openings in Germany, with 1,148 positions available. Following closely is Munich, comprising 25% of the market with 704 openings, while Hamburg contributes 9% with 270 positions. This data underscores Berlin's dominance in the Artificial Intelligence job market, as illustrated in the accompanying chart.

Most sought after technologies in Berlin for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the competitive landscape of the Artificial Intelligence job market in Germany Berlin, several key technologies emerge as essential skills for candidates. Notably, Python stands out as the most frequently utilized language, appearing 8,028 times in job postings, followed closely by Machine Learning with 5,052 mentions. SQL, a crucial database technology, is featured 3,076 times, highlighting its importance for data management in AI roles. Additionally, Data Science and AI are significant areas of focus, with 1,623 and 4,276 occurrences, respectively. These trends underscore the skills that employers prioritize when seeking Artificial Intelligence Engineers, as illustrated in the accompanying chart.

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