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Artificial Intelligence Developer Hiring Trends in Bucharest, Romania

This report was last updated on Aug 17, 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 Engineers job market in Romania, particularly in Bucharest, has seen significant fluctuations over the past three months, with 28 new job postings in week 22 indicating a high demand for talent.
  • With a competitive landscape marked by 2,000 job openings against a talent pool of 5,000, hiring managers face challenges in sourcing top candidates, with a jobs-to-talent pool ratio of 2.5 prevalent in Bucharest.
  • Mid-Senior level professionals represent 67% of AI Engineering positions available, highlighting the need for hiring strategies that effectively attract experienced talent to stay competitive in the market.
  • Bucharest dominates the job market for Artificial Intelligence Engineers, accounting for 75% of total job openings, followed by Cluj-Napoca and Timișoara, making it the prime location for AI recruitment activities in Romania.
  • The median time to hire for Artificial Intelligence Engineers in Romania is 34 days, with a substantial proportion of roles filled within 30 days, suggesting that swift and strategic recruitment methods are essential for success in the fast-paced tech sector.
Number of roles opened and closed for Artificial Intelligence Engineers in Bucharest in the last 3 months

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

The Artificial Intelligence Engineers job market in Romania, particularly in Bucharest, has shown significant fluctuations over the past 12 weeks. An analysis reveals that there were 28 new job postings in week 22, a peak not matched since. However, the closure of jobs has been notably high, with a peak of 27 closed positions in week 24, indicating a competitive job environment where opportunities are swiftly filled. On average, the difference between newly opened and closed roles suggests a challenging landscape for hiring managers, with potential recruitment strategies needing adjustment in response to these dynamic trends. Compared to other European regions, the demand for Artificial Intelligence Developers in Romania Bucharest may present a unique challenge in attracting talent while also facing a robust number of closures.

Who else is hiring for ai Engineers in Romania:

Company name Country Industry Founded # Job openings
NTT DATA Europe & Latam logo NTT DATA Europe & Latam Spain Information Technology & Services 1967 53
Canonical logo Canonical United Kingdom Information Technology & Services 2004 17
IBM logo IBM United States Information Technology & Services 1911 10
Hipo.ro logo Hipo.ro Romania Professional Services 2006 10
Undelucram.ro logo Undelucram.ro Romania Human Resources 2011 7
OpenText logo OpenText Canada Information Technology & Services 1991 7
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 7
CrowdStrike logo CrowdStrike United States Computer & Network Security 2011 6
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 6
Amazon logo Amazon United States Information Technology & Services 1994 5

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Talent pool vs job openings for Artificial Intelligence Engineers in Romania

How competitive it is to hire Artificial Intelligence Engineers in Romania

The Artificial Intelligence Engineers job market trends indicate a challenging landscape in Romania, particularly in Bucharest, where the ratio of available talent to job openings suggests increased competition for skilled developers. With Romania showcasing 2,000 job openings against a talent pool of 5,000, the jobs-to-talent pool ratio stands at 2.5, making it relatively difficult to source talent. Comparatively, countries like Poland, Germany, and France are seeing similar trends; Poland presents a jobs-to-talent ratio of 1.8, while Germany and France operate at approximately 2.0. As a result, hiring managers and CTOs in Bucharest must refine their recruitment strategies to attract top talent in a competitive market emphasizing the potential difficulties of recruiting Artificial Intelligence Engineers.

Seniority distribution of Artificial Intelligence Engineer job openings in Bucharest

Seniority Distribution of Artificial Intelligence Engineering Jobs in Bucharest

The seniority distribution of Artificial Intelligence Engineering jobs in Romania Bucharest reveals notable trends. Mid-Senior level professionals represent 67% of the job market, while Entry level positions account for 22%, and Associates make up 9%. This distribution highlights a substantial demand for experienced talent, indicating that hiring managers need to focus on attracting Mid-Senior level Engineers to stay competitive in the evolving landscape of AI job opportunities.

Chart about preferred employment type for Engineering roles in Romania

Preferred employment type for Engineering roles in Romania

The employment type distribution for engineering roles in Romania reveals a significant preference for full-time positions, which constitute 96% of available jobs. Meanwhile, contract roles account for 4%, while part-time and internship opportunities represent just 2% and 1% respectively. This data underscores the importance of prioritizing full-time talent acquisition strategies for hiring managers seeking to build robust teams in the competitive Artificial Intelligence sector in Romania, particularly in Bucharest.

Time to Hire Distribution for Artificial Intelligence in Romania

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Engineer positions in Romania reveals significant insights for hiring managers. A substantial proportion of candidates, accounting for 237 placements, were hired within 30 days, indicating a favorable market for quick recruitment. However, as the time to hire increases, the number of candidates drops, with only 5 positions filled in 90 days. This trend suggests a competitive landscape for Artificial Intelligence Developers, especially in Bucharest, where a strategic approach to recruitment can enhance the chances of attracting top talent. With 90% of hires occurring within 30 to 70 days, companies must refine their recruitment strategies to capitalize on the existing demand for skilled professionals in Romania's vibrant tech sector.

Expolore reports from other European Developer talent pools

Most popular cities in Romania to hire Artificial Intelligence Engineers

Top 5 cities in Romania to hire Artificial Intelligence Engineers

In Romania, the job market for Artificial Intelligence Engineers is predominantly centered in Bucharest, which accounts for 75% of the total relevant job openings. Cluj-Napoca follows with 12%, while Timișoara and Iaşi represent 6% and 5% respectively. This concentration in the capital emphasizes its role as a key hub for AI talent in the region, as illustrated in the accompanying chart.

Most sought after technologies in Bucharest for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

The Artificial Intelligence job market trends in Romania, particularly in Bucharest, reveal a dominant presence of several key technologies. Python tops the list with a remarkable frequency of 7739, showcasing its critical role in AI development. This is closely followed by machine learning, which appears with a high frequency of 4944, indicating a strong focus on data-driven methodologies in AI projects. SQL, essential for managing and querying data, stands at a combined frequency of 2543, demonstrating its importance in data handling. Moreover, Data Science technologies are prevalent, with frequencies of 1439 and 1420, underscoring the growing reliance on statistical techniques in the AI landscape. These insights, illustrated in the accompanying chart, serve as valuable indicators for hiring managers looking to align with current technological demands.

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