Top Artificial Intelligence Jobs in Romania

As a Learning Development AI Specialist, you'll develop AI tools and full-stack components, integrate LLM technologies, and support innovative learning solutions at Nokia.

The Machine Learning Engineer will develop and deploy ML models, collaborate with teams, and support AI/ML research, focusing on financial services solutions.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

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

The Senior AI Developer will refactor a prototype into a multi-agent system, design orchestration and communication logic, implement guardrails, integrate APIs, and optimize performance while collaborating with teams for robust design.

As a Customer Support Expert, you will provide customer support via social media and email, representing various brands while setting your own schedule and working remotely.

As a Tech Lead/Software Architect, you will shape technical direction, lead design decisions, ensure system architecture, and mentor engineering teams while enhancing code quality and scalability.

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.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

Seeking an AI Full-Stack Developer to work with the MERN stack. The role involves developing AI solutions within a collaborative team environment that values diversity and inclusion.

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

Lead engineering teams to design and deliver AI-powered solutions, ensuring scalability and adherence to best practices in cloud environments.

Manage and optimize Salesforce and MariaDB integrations, administer CRM configurations, troubleshoot data workflows, implement AI-driven analytics and automation, produce reports in Power BI, train sales teams, and maintain documentation and SOPs to improve sales efficiency and data-driven decision making.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

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.

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

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.

As an AI/ML Agentic Engineer, you'll design autonomous AI agents, build multi-agent systems, and deploy predictive models while collaborating with stakeholders and advancing AI strategies.

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 AI Engineer will design and implement AI/ML pipelines, work on GenAI applications, and improve telecom network operations through intelligent automation and predictive insights.

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.

Create high-volume, AI-accelerated conversion copy across funnels (landing pages, emails, VSLs/webinars), maintain brand voice, build prompt libraries, run A/B tests, and integrate with Funnel Design, Sales and Product teams to improve measurable conversion metrics.