Artificial Intelligence Developer Hiring Trends in Stuttgart, Germany

This report was last updated on May 13, 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 talent pool for Artificial Intelligence Engineers in Stuttgart is characterized by a significant influx of professionals, with 40% of job roles being Mid-Senior level, reflecting a robust demand for experienced talent.
In the last 12 weeks, the job market has shown volatility with a concerning turnover rate; peaking at 6 job closures in week 12, indicating challenges in retaining talent compared to other tech positions in Stuttgart.
Stuttgart currently has 32 job openings for Artificial Intelligence Engineers, with an urgent need for innovative recruitment strategies given the tight labor market evidenced by a higher number of job openings relative to available talent.
Leading cities for Artificial Intelligence hiring in Germany include Berlin (47% of job openings), Munich (29%), Hamburg (11%), and Frankfurt (11%), emphasizing where hiring managers should concentrate their recruitment efforts.
The median time to hire for Artificial Intelligence Engineers stands at 32 days in Germany, with a notable trend towards quicker hiring processes in the ongoing competitive landscape.

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

In the past 12 weeks, the job market for Artificial Intelligence Engineers in Germany Stuttgart has shown a fluctuating trend. Notably, there were only 2 new positions posted in week 7, contrasting sharply with a peak of 6 new openings in week 15. However, the data on closed jobs reveals a concerning pattern; during this same period, there were several weeks with significant closures, peaking at 6 in week 12. This indicates a higher turnover rate for these roles compared to other tech positions in the region, suggesting that while demand for Artificial Intelligence talent is evident, recruitment challenges persist, particularly in Stuttgart. When comparing this with trends in other European countries, it becomes clear that while jobs are opening, the overall net gain in positions remains uncertain, emphasizing the need for tailored recruitment strategies for CTOs and hiring managers in Stuttgart's competitive tech landscape.

Who else is hiring for ai Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	18
Deloitte	United States	Management Consulting	1845	10
Miltenyi Biotec	Germany	Research	1989	8
adesso SE	Germany	Information Technology & Services	1997	8
msg	Germany	Information Technology & Services	1980	6
CGI	Canada	Information Technology & Services	1976	6
BMW Group	Germany	Automotive	1916	5
Capgemini	France	Management Consulting	1967	5
T-Systems International	null	null	null	5
Taktile	United States of America	Software Development	null	5

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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

In the dynamic landscape of the European software development job market, the demand for Artificial Intelligence Engineers continues to rise sharply. In Germany, particularly in Stuttgart, the job market reflects a challenging scenario for hiring managers, with an increasing number of job openings compared to the available talent pool. For instance, when compared to other European countries like France, the Netherlands, and Spain, Germany demonstrates a higher ratio of job openings per available talent, indicating a tighter labor market. Specifically, the ratio of job openings in Germany suggests that hiring talent is difficult, emphasizing the need for innovative recruitment strategies for CTOs in Germany Stuttgart's tech sector to attract and retain skilled professionals. As hiring trends evolve, staying informed about the future demand for Artificial Intelligence Engineers in Germany will be pivotal for successful recruitment efforts.

Seniority distribution of Artificial Intelligence Engineer job openings in Stuttgart

Seniority Distribution of Artificial Intelligence Engineering Jobs in Stuttgart

In the Artificial Intelligence job market in Stuttgart, Germany, the seniority distribution reflects a varied landscape of opportunities. Currently, 40% of the positions are categorized as Mid-Senior level, indicating a robust demand for experienced professionals. Entry-level roles account for 33%, showcasing a steady influx of new talent into the sector, while Internship positions represent 13%, highlighting avenues for aspiring engineers to gain practical experience. This distribution is essential for CTOs and hiring managers to understand the potential talent pool when considering recruitment strategies.

Preferred employment type for Engineering roles in Germany

In the German software development job market, full-time positions dominate the landscape with a significant 96% representation among engineering roles. Part-time employment accounts for 4%, while internships make up 2% of the opportunities available. This distribution highlights the need for hiring managers to focus on attracting full-time talent, particularly in the competitive field of Artificial Intelligence engineering in cities like Stuttgart.

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 roles in Germany indicates a varied landscape that hiring managers must navigate. A significant proportion of positions, approximately 368 roles, take around 30 days to fill, while 250 roles require a 25-day timeframe. Notably, 245 positions are filled within 20 days, highlighting an emerging trend towards quicker hiring processes. In contrast, longer hiring durations are observed, with 259 roles taking 35 days and a decline in positions at 40 days and beyond. Understanding these timeframes can help CTOs and recruiting teams devise effective recruitment strategies tailored for the growing demand for Artificial Intelligence Engineers in Germany, particularly in Stuttgart.

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Most popular cities in Germany to hire Artificial Intelligence Engineers

Top 5 cities in Germany to hire Artificial Intelligence Engineers

In the competitive landscape for Artificial Intelligence Engineers in Germany, Berlin leads with 47% of the job openings, followed by Munich at 29%. Hamburg accounts for 11% of the market, while Frankfurt offers 11% as well. These cities are pivotal for hiring managers to consider when evaluating the Artificial Intelligence job market in Germany, particularly in Stuttgart. Refer to the accompanying chart for a visual representation of this data.

Most sought after technologies in Stuttgart for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the rapidly evolving Artificial Intelligence job market in Germany Stuttgart, a variety of technologies are predominantly sought after by hiring managers. According to recent data, Python stands out as the most in-demand programming language, with a usage frequency of 14,106, followed closely by Machine Learning at 8,036. Additional prominent technologies include Data Analysis (3,996), AI (5,465), SQL (6,070), and Java (1,577). These figures, illustrated in the accompanying chart, reflect the essential skills and tools that candidates must possess to thrive in the competitive landscape of Artificial Intelligence roles.

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