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

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.

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.

The AI Full-Stack Developer will design, build, and deploy AI-enabled web applications using modern frameworks, focusing on scalability and integration with LLMs.

The Program Manager for AI/ML will lead technical projects, defining requirements, creating plans, monitoring progress, managing budgets, and interfacing with stakeholders to ensure successful AI/ML integration.

Responsible for delivering AI-powered product features, managing AI roadmap alignment, and collaborating with data scientists and UX teams. Requires strong AI knowledge and over 5 years of Product Management experience.

Own the full enterprise sales cycle into large law firms and corporate legal teams: prospect, plan strategic accounts, run tailored demos and pilots with Legal Engineering, negotiate multi-stakeholder deals, manage pipeline and forecasting, and refine enterprise sales playbook to expand adoption of Libra's legal AI platform.

Lead the architecture and development of a programmatic AI-enhanced engineering system, overseeing a team and ensuring software excellence.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Design and maintain enterprise-grade Copilot solutions, integrate with Microsoft 365 and data sources, enforce governance standards, and mentor internal teams while optimizing performance using analytics.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

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.

As a Full Stack Developer, you'll design and deploy AI agents using TypeScript and Node.js, integrating LLMs with external systems and optimizing retrieval layers.

Lead the discipline of Data by fostering team performance, enhancing technical expertise, and managing hiring and development processes. Drive continuous improvement and strategic vision in line with project requirements.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

As a Backend Developer for Generative AI, you will design, develop, and deploy backend services using Python and AWS, focusing on scalable architectures and AI integration.

Responsible for designing and maintaining an AI orchestration platform, overseeing AI solutions' integration, governance, and continuous improvement in collaboration with various stakeholders.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

Lead technical direction and mentorship in AI engineering, develop end-to-end AI applications, and architect AI-driven systems using advanced technologies.

The AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions, collaborating with cross-functional teams to drive automation and advanced analytics while ensuring data quality and model performance.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.