Top Artificial Intelligence Jobs in Bucharest

As a Senior Forward Deployed Data Scientist, you will collaborate with customers on data integration, ML model configuration, and contribute to product strategy through technical expertise.

Join Braze as a Forward Deployed Data Scientist where you'll collaborate with clients on data integration, enhance product capabilities, and advance reinforcement learning algorithms to drive customer success.

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

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

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

As a Web Architect, you will design architectural frameworks for AI-driven web applications, provide technical leadership, and optimize performance while documenting processes and collaborating with cross-functional teams.

Design and develop Adobe's Agent Orchestrator Platform, focusing on AI automation, agent workflows, and mentoring team members in a collaborative environment.

The role involves diverse data-related tasks, including data collection, evaluation, annotation, and labeling across various content types, requiring native-level fluency in Turkish and English proficiency.

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.

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 a Machine Learning Engineer, you will develop and deploy ML models for Adobe's Agent Orchestrator Platform, optimizing agent behaviors and ensuring performance in production environments.

The role involves creating and executing automated test cases, reviewing software specifications, and analyzing errors to improve software quality in automotive systems.

Lead the architecture and development of AI platforms, manage a team, and drive AI adoption in the automotive division, ensuring process excellence and data governance.

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.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

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.

As an AI Developer Intern, you will support the AI engineering team in developing AI solutions, participating in workflow redesign discussions, and exploring AI technologies.

Develop and deploy large-scale machine learning solutions, collaborate with teams, and engage with clients to address business problems.

The Director of Engineering for AI Infrastructure will lead the development of scalable agent orchestration and AI solutions, mentoring a multidisciplinary team and collaborating on innovative customer-focused technologies.