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.

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 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.

Design and implement AI/ML and computer vision solutions on Microsoft Azure, focusing on scalable, production-ready systems. Responsibilities include mentoring, ensuring performance, and guiding best practices.

As a Senior Full-Stack Developer, you'll design intuitive web applications and integrate with engineering tools, enabling AI capabilities while ensuring software quality and craftsmanship.

Lead the design and development of AI agents, microservices, and enterprise integrations, ensuring quality delivery and fostering team growth.

The AI Engineer will build AI-powered features, design RAG pipelines, integrate LLM APIs, develop backend services, and ensure system reliability.

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

The Back-End Engineer, AI develops robust backend solutions using AI tools, collaborates with teams, and ensures high-quality product delivery while maintaining coding standards and performance optimization.

The AI Engineer will develop and deploy AI solutions using Machine Learning and Generative AI, focusing on model training, integration, and optimization in cloud environments.

The Senior AI Engineer will design and develop AI accelerators for data-migration workflows, focusing on production-grade systems and architectural guidance while mentoring junior engineers.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The CRO Manager will optimize conversion rates through AI-driven experimentation and analysis, managing end-to-end CRO cycles and collaborating with engineering teams.

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 Engineering Manager will lead the AI & Automation Squad, ensuring quality delivery of scalable AI solutions, managing a team, and upholding engineering standards across platforms.

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

The AI-First Graphic Designer will create visual assets for digital platforms, maintain brand consistency, and collaborate on marketing campaigns. The role requires managing multiple design requests in a fast-paced environment.

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

The Senior Data Engineer will design and maintain data pipelines, develop ETL processes, optimize GCP services, ensure data quality, and collaborate with stakeholders.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

Design, build, and deploy machine learning models. Develop AI workflows using various frameworks, and optimize data processing on AWS.

As a Golang Engineer, you will design, develop, and optimize distributed backend systems, focusing on performance, scalability, and P2P communication. You'll collaborate in an Agile environment and improve backend infrastructure while mentoring fellow engineers.

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.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.