Top Artificial Intelligence Jobs in Romania

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

Welo Data seeks Romanian native speakers for flexible roles in AI-related annotation, evaluation, and prompt creation. Ideal candidates are detail-oriented and tech-savvy.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The AI/ML Engineer will fine-tune AI models, build finance-related AI features, conduct R&D, and guide teams in custom dataset building.

The AI/ML Engineer will implement AI features, build AI frameworks, fine-tune models, and conduct research to help develop innovative AI-driven products.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

Lead the design and integration of AI solutions in financial services, ensuring customer satisfaction and technical solution alignment while mentoring technical teams and maintaining compliance.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

The AI Automation Engineer will develop and maintain AI support systems, improve conversational AI through prompt engineering, and collaborate with cross-functional teams while ensuring quality and scalability.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As an AI Engineer, you'll lead the development of features from design to production, focusing on AI-powered tools that streamline travel business operations. You'll work closely with product teams to address user needs while mentoring others and ensuring system reliability.

Develop and implement machine learning solutions in game development, collaborating with various teams and maintaining production-grade systems.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.