Top Artificial Intelligence Jobs in Romania

Partner with customer Analytics/BI teams to implement data integrations, build reusable pipelines and APIs, configure ML models, advance reinforcement-learning pipelines, and drive BrazeAI product adoption and customer success.

As an intern, support the team with operational tasks, contribute to project activities, and gain hands-on experience in a professional environment.

The role involves providing solutions consulting, driving business development, and supporting proposal development. Candidates must leverage Honeywell's product offerings, engage with customers, and analyze market trends while fostering strong relationships.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

As a Product Designer, you will identify business problems, conduct user research, create elegant user interfaces, and collaborate with teams to transform concepts into successful designs.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The Account Executive is responsible for the full sales cycle for enterprise accounts, developing business opportunities, and closing deals, particularly in cybersecurity.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

Evaluate and rate filters and options on desktop and mobile per guidelines to ensure relevance to customer queries and preferences. Perform online research, check accuracy and consistency of assessments, complete required tests and NDA, and work remotely as a freelance Swedish-language rater (5–15 hrs/week).

Manage social media strategies across multiple brands, produce AI-enhanced content, engage communities, and deliver performance analytics.

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.

Design and implement Generative AI and Agentic AI solutions, integrating AI models with real-world applications, and managing AI workloads in cloud environments.

Lead the design, implementation, and deployment of Generative and Agentic AI solutions, integrate LLMs and databases, and manage cloud infrastructure.

The role requires training large language models to improve code quality, involving code review, ranking, and feedback integration for reinforcement learning.

The role involves training large language models to improve code quality by reviewing and refactoring AI-generated code, providing feedback to enhance the learning process.

The engineer will train large language models to write code, review and refactor AI-generated code, and inject feedback into a reinforcement learning pipeline.

The AI Full-Stack Developer will build AI-enabled web applications using React and NestJS, integrate LLM APIs, deploy on AWS, and work in an Agile environment with cross-functional teams.

Lead AI productivity platforms, ensuring enterprise-wide adoption and compliance. Oversee platform governance, integration, and performance measurement while driving AI operational models and risk management in a regulated environment.

The Senior Product Manager leads AI delivery initiatives, coordinating cross-functional resources, managing project resources and budgets, and ensuring alignment with company strategy and goals.

Design and implement AI tooling and compiler infrastructure for heterogeneous computing. Optimize AI models and develop transformation pipelines. Collaborate on memory and execution strategies.

The role requires deploying AI systems to enhance sales processes across Flosum's go-to-market teams, focusing on automation and pipeline efficiency. Responsibilities include training AI agents, integrating systems, and optimizing workflows for revenue generation.

The Data Scientist will collaborate with stakeholders to create AI/ML solutions, build data transformation infrastructures, and maintain cloud platforms for AI development while ensuring scalability and compliance.