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Artificial Intelligence Developer Hiring Trends in Munich, Germany

This report was last updated on Sep 6, 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, particularly in Munich, demonstrates a robust demand for skilled professionals, with the region experiencing a notable increase in job openings in recent weeks.
  • Over the past three months, the highest number of new postings for Artificial Intelligence Engineers was recorded at 16 positions in week 25, signifying a fluctuating yet generally upward trend in demand.
  • Prominent companies leading the hiring efforts include Microsoft, TieTalent, and adesso SE, underscoring the competitive landscape and the necessity for strategic recruitment strategies among tech leads and CTOs.
  • Munich holds a significant position in the overall talent pool, boasting 32% of Artificial Intelligence job openings in Germany, making it a critical location for hiring efforts alongside cities like Berlin.
  • The median time to hire for Artificial Intelligence Engineers in Munich stands at 33 days, indicating a swift recruitment landscape; however, predictors of urgency highlight an expectation for recruitment managers to act quickly to secure top talent.
Number of roles opened and closed for Artificial Intelligence Engineers in Munich in the last 3 months

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

The Artificial Intelligence engineering job market in Germany Munich has shown a dynamic trend over the past 12 weeks, with fluctuations in job openings reflecting the growing demand for talent in this sector. Notably, the highest number of new postings was recorded in week 25 with 16 positions, while the lowest was in week 24, which saw only 9 new openings. Closure rates for these roles indicate significant turnover; for instance, week 35 experienced 13 closures after a peak of 19 closed jobs in week 33. This trend of higher openings compared to closures suggests a burgeoning demand for Artificial Intelligence engineers, contrasting with stable or declining patterns observed in other technology roles within the region. Compared to other European cities, Munich maintains a competitive edge in Artificial Intelligence Developer opportunities, highlighting the need for strategic recruitment efforts by CTOs and hiring managers targeting this talent pool.

Who else is hiring for ai Engineers in Germany:

Company name Country Industry Founded # Job openings
Microsoft logo Microsoft United States Information Technology & Services 1975 81
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 42
adesso SE logo adesso SE Germany Information Technology & Services 1997 11
voize logo voize Germany Information Technology & Services 2020 11
Thoughtworks logo Thoughtworks United States Information Technology & Services 1993 10
Speechify logo Speechify Ukraine Information Technology & Services 2017 9
STACKIT logo STACKIT Germany Information Technology & Services 2019 9
F11 logo F11 Germany Marketing & Advertising 2014 9
Trimble Inc. logo Trimble Inc. United States Information Technology & Services 1978 8
CGI logo CGI Canada Information Technology & Services 1976 8

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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 talent market for Artificial Intelligence Engineers across Europe presents a varied landscape. In Germany, specifically Munich, the job market demonstrates a strong demand with a significant number of job openings relative to the available talent pool. For instance, Germany's ratio of talent pool size to job vacancies indicates a competitive environment for recruitment. In comparison, countries like France and the Netherlands show a higher number of open positions but a more balanced talent pool, while the United Kingdom faces a tighter market with fewer opportunities relative to its talent supply. This analysis suggests that hiring talent in Germany, particularly in Munich, can be challenging, necessitating strategic recruitment approaches from CTOs and HR leads to attract and retain skilled candidates amidst growing demand.

Seniority distribution of Artificial Intelligence Engineer job openings in Munich

Seniority Distribution of Artificial Intelligence Engineering Jobs in Munich

In the Artificial Intelligence job market in Germany, particularly in Munich, the distribution of seniority levels reveals important trends for hiring managers. The majority of positions are classified as Mid-Senior level, comprising 55% of available roles. This is followed by Entry level positions at 22%, and Associate roles, which represent 11%. This distribution highlights the significant demand for experienced professionals while still offering opportunities for newcomers entering the field.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In the German software development job market, particularly within the realm of Artificial Intelligence, full-time positions dominate the employment type distribution, accounting for 96% of available roles. Part-time opportunities make up a mere 4%, while internships represent approximately 2% of the total roles. This data underscores the preference for stable, long-term employment in Germany Munich's tech sector.

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 reveals significant insights into the current job market trends. A substantial portion of openings, accounting for 215 roles, are filled within 30 days, indicating a high demand for talent in this area. Furthermore, the hiring landscape shows that 128 positions are filled within 15 days, highlighting the urgency among hiring managers in the tech sector. However, as job openings extend beyond 30 days, the number of filled positions gradually declines, with only 4 roles taking over 90 days to fill. This data underscores the importance for CTOs and Engineering Managers to adopt effective recruitment strategies to secure top talent in a competitive market, particularly in cities like Munich.

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

In the current landscape of the Artificial Intelligence job market in Germany, Berlin leads with 54% of the total job openings, followed by Munich, which accounts for 32%. Hamburg and Frankfurt contribute 13% and 10% respectively. This distribution highlights Berlin's dominance as the primary hub for Artificial Intelligence opportunities, while Munich emerges as a significant player, underscoring its importance in attracting talent in this sector.

Most sought after technologies in Munich for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the rapidly evolving landscape of the Artificial Intelligence job market in Germany, particularly in Munich, the demand for proficiency in core technologies is paramount. Data Analysis, with a frequency of 823, and Natural Language Processing (NLP) at 870 are foundational skills sought by employers. Cloud services are also critical, with AWS emerging as a significant player, showing a frequency of 912. Additionally, languages such as Java, present with a frequency of 921, and especially Python, dominating the field at a remarkable 7472, indicate the key programming competencies necessary for aspiring Artificial Intelligence Engineers. Machine Learning remains the most sought-after skill, registering a frequency of 5033. These technologies are essential for candidates looking to excel in the Artificial Intelligence job market, as illustrated in the accompanying chart.

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