Top Artificial Intelligence Jobs in Romania

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.

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.

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.

Lead the design and delivery of AI-enabled full-stack applications, ensuring solutions meet enterprise standards while mentoring other engineers.

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.

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.

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.

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 Senior Research Scientist will focus on researching scalable AI/ML solutions, emphasizing Small Language Models and GenAI systems while applying real-world constraints.

The role focuses on applied research in agentic AI and Small Language Models, emphasizing experimentation and development of reusable methodologies for robust AI systems.

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.

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 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 Technical Architect will design and oversee modular AI-optimised software systems, ensuring scalability and resilience, while mentoring teams in AI-assisted coding practices and architectural governance.

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.