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.

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 Lead AI Engineer will design and implement enterprise AI platforms, focusing on integrations, automation workflows, and performance optimization, ensuring secure adoption across the organization.

Evaluate the quality of interactions with AI coding agents like OpenAI Codex and Claude Code, focusing on engineering judgments and feedback on their responses.

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 product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

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

The Backend Engineer will build and scale backend services and APIs, improve system performance, and design scalable architectures in a collaborative environment using AI coding tools.

The AI Engineer will develop AI solutions, implement LLM applications, optimize RAG pipelines, and deploy ML models across cloud platforms while collaborating with cross-functional teams.

The role involves managing AI-driven outbound marketing campaigns in German, focusing on lead sourcing, segmentation, and demo bookings, with autonomy and minimal oversight.

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 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.

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.