Top Artificial Intelligence Jobs in Bucharest

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.

The role involves overseeing multiple projects within the EPMO, driving project delivery, coaching leaders, and integrating AI solutions while ensuring alignment with enterprise objectives.

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.

The position requires leading the design and implementation of AI and automation solutions, ensuring alignment with enterprise architecture standards and driving digital transformation in banking.

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.

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

As a Principal AI Engineer, you will design AI solutions, lead R&D for explainable AI, mentor junior engineers, and collaborate across teams.

The Senior AI Engineer will develop autonomous AI systems, architect multi-agent collaborations, lead AI projects, and optimize existing systems, driving innovation in AI-driven solutions.

As a Legal Engineer, you'll design and implement AI-powered legal workflows, engage clients to optimize legal processes, and enhance product feedback for continuous improvement.

The AI Software Engineer designs AI-enhanced applications using AWS and .NET, focusing on scalable systems and content orchestration.

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.

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

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

Design and build backend services that integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to deploy AI-powered tools, implement API integrations, and manage ETL pipelines for unstructured data.

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.

Lead the LLM team in architecting, deploying, and managing AI models that enhance user interactions. Involve in coding, mentoring, and improving moderation systems for an AI companion platform.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Develop and optimize AI solutions by refactoring prototypes, designing multi-agent architectures, and integrating APIs while ensuring performance and system observability.