Top Artificial Intelligence Jobs in Romania

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.

The role involves providing solutions consulting, driving business development, and supporting proposal development. Candidates must leverage Honeywell's product offerings, engage with customers, and analyze market trends while fostering strong relationships.

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.

Design, build, and deploy AI applications using LLMs and RAG, optimize performance, implement prompt engineering, and collaborate with teams.

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.

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.

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.

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.

The No-Code Systems Automation Engineer will design, build, and maintain automation workflows using GoHighLevel and either Zapier or n8n, ensuring reliability and performance through error handling and monitoring practices.

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.

The AI-Native Engineer will design intelligent systems for an AI-native ecosystem, streamline workflows, and collaborate on innovative solutions in software engineering.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The Senior AI Engineer will design and enhance shared AI platform capabilities while ensuring reliability and production readiness. The role requires collaboration on system architecture, building reusable components, and mentoring other engineers in AI development practices.

As a Junior/Mid AI Video Artist, you will create and edit engaging video content for digital platforms, collaborating with creative teams and utilizing AI tools to enhance production.

As an AI Developer, you'll design AI-driven document features, integrate capabilities into tools, optimize performance, and engage in systems design and coding across languages.

As a Forward Deployed Engineer, you'll bridge customer needs and OPAQUE's AI platform, designing production-grade solutions and managing deployment integration.

Lead AI product strategy and execution, manage data migration initiatives, oversee Agile processes, and collaborate with stakeholders to drive product success.

The AI LoRA Character Creator will manage the full lifecycle of AI character creation, ensuring high-quality output through training, testing, and creative iteration. Responsibilities include collaboration with teams, maintaining content relevance, and researching new innovations.

The Industry AI Consultant Engineer will design and implement AI solutions, lead workshops to define use cases, and collaborate with cross-functional teams to deliver AI products.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Principal Data Product Manager will lead ML and AI initiatives, define strategies, manage product roadmaps, and collaborate with teams to deliver scalable solutions that drive business outcomes.