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Artificial Intelligence Developer Hiring Trends in Cluj-Napoca, Romania

This report was last updated on Sep 7, 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 Cluj-Napoca, is currently witnessing a tightening of opportunities with a total of 25 openings versus 45 closed positions over the last three months.
  • Key technologies in demand for Artificial Intelligence Engineers in Cluj-Napoca include Python (7,472 occurrences), machine learning technologies (5,033 usages), and SQL (1,995 occurrences), essential for aligning recruitment strategies with market trends.
  • Mid-Senior level positions dominate the seniority distribution, accounting for 49% of roles, indicating a focus on experienced talent while also offering opportunities for entry-level engineers (17%).
  • Bucharest remains the leading city for Artificial Intelligence Engineer job postings, representing 69% of the total market, with Cluj-Napoca contributing 11%, emphasizing its importance as a technology hub.
  • The median time to hire for Artificial Intelligence Engineers in Romania is 34 days, providing insights into the competitive landscape and the need for hiring managers to adapt their recruitment strategies accordingly.
Number of roles opened and closed for Artificial Intelligence Engineers in Cluj-Napoca in the last 3 months

Number of roles opened and closed for Artificial Intelligence Engineers in Cluj-Napoca in the last 3 months

In the last 12 weeks, the Artificial Intelligence Engineers job market in Romania's Cluj-Napoca has displayed notable fluctuations. There was a peak of 11 new roles opened in week 32, contrasting sharply with the 6 positions closed in week 25. Overall, the recruitment landscape shows a net decrease in job openings, with 25 positions opened compared to 45 closed over the 12-week period. This trend indicates a tightening of opportunities, potentially affecting recruitment strategies for CTOs and hiring managers looking to attract top talent in these specialized roles compared to other European technology hubs.

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 51
Canonical logo Canonical United Kingdom Information Technology & Services 2004 17
Microsoft logo Microsoft United States Information Technology & Services 1975 16
IBM logo IBM United States Information Technology & Services 1911 14
Undelucram.ro logo Undelucram.ro Romania Human Resources 2011 10
Hipo.ro logo Hipo.ro Romania Professional Services 2006 8
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 7
OpenText logo OpenText Canada Information Technology & Services 1991 7
CrowdStrike logo CrowdStrike United States Computer & Network Security 2011 7
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 6

Here are a few specialized ai agencies you can trust:

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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

In the competitive landscape of the European Artificial Intelligence Engineers job market, Romania is poised as a promising destination. With a notable count of job openings, Romania exhibits a healthy ratio of available talent, making it relatively easier to find suitable candidates compared to countries like Germany and France, where the talent market is more saturated and the hiring process can be more challenging. Additionally, places such as the Czech Republic show increasing competition, which may further influence hiring dynamics. Consequently, hiring managers should leverage this favorable talent pool in Romania, particularly in Cluj-Napoca, where emerging trends in Artificial Intelligence Engineer hiring are evident. This insight is critical for CTOs and recruitment strategists aiming to capitalize on the growing demand for Artificial Intelligence Developers in this innovative region.

Seniority distribution of Artificial Intelligence Engineer job openings in Cluj-Napoca

Seniority Distribution of Artificial Intelligence Engineering Jobs in Cluj-Napoca

In the Artificial Intelligence job market in Romania Cluj-Napoca, the seniority distribution reveals a strong demand for Mid-Senior level positions, which account for 49% of the roles. This is followed by Associate level at 20% and Entry level positions comprising 17%. These trends indicate a healthy interest in experienced talent while still providing opportunities for entry-level candidates, making it crucial for hiring managers to tailor their recruitment strategies accordingly.

Chart about preferred employment type for Engineering roles in Romania

Preferred employment type for Engineering roles in Romania

In Romania's engineering job market, the majority of employment opportunities are classified as full-time positions, comprising 96% of the total job offerings. Contract roles account for 4%, while part-time positions represent less than 2%. This distribution underscores a significant trend towards stability and long-term engagement in engineering roles, especially for Artificial Intelligence Engineers in Romania, particularly in Cluj-Napoca.

Time to Hire Distribution for Artificial Intelligence in Romania

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Engineer positions in Romania exhibits a diverse distribution, indicating various hiring cycles within the tech sector. Notably, the largest segment of candidates is hired within the 30-day window, with 201 placements reported. A significant portion, 97 candidates, fall within the 25-day timeframe, while 70 are hired after just 10 days. This suggests a competitive environment for Artificial Intelligence talent, particularly within Cluj-Napoca. As hiring managers and CTOs strategize recruitment, understanding these timeframes will be crucial for optimizing hiring processes and remaining competitive in the evolving Romanian tech landscape.

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

The location distribution for Artificial Intelligence Engineers job openings in Romania reveals that Bucharest stands out significantly, accounting for 69% of the total job postings. Cluj-Napoca follows with 11%, highlighting its position as a key hub for technology talent in the country. Timișoara and Iaşi represent 6% and 5% respectively, displaying a notable concentration of opportunities primarily in the capital and Cluj-Napoca. Please refer to the accompanying chart for a visual representation of this data.

Most sought after technologies in Cluj-Napoca for Artificial Intelligence

Key technologies for Artificial Intelligence Engineers

In the context of the Artificial Intelligence engineers job market trends in Romania, specifically in Cluj-Napoca, certain technologies emerge as frontrunners. The data indicates that Python leads the pack with a frequency of 7,472, emphasizing its critical role in AI development. Following closely are machine learning technologies, which collectively accumulate 5,033 usages, showcasing the importance of this discipline. Additionally, SQL and data science technologies are prevalent, with frequencies of 1,995 and 1,464, respectively. Finally, AWS and Java stand at the forefront with 912 occurrences each, reflecting their significance in cloud and software engineering for AI applications. These insights are crucial for hiring managers aiming to align recruitment strategies with the evolving landscape referenced in the accompanying chart.

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