Top Artificial Intelligence Jobs in Romania

Lead end-to-end production of vertical short drama series (1-2 series concurrently). Create scripts, direct, edit, and finish episodes (~10-15 episodes, ~1 min each), use company AI copilot for casting and consistency, collaborate with AI/content/tech teams, and iterate rapidly on performance-driven storytelling.

The Gen AI Adoption Lead will help integrate AI into engineering workflows, lead training sessions, and develop playbooks for GenAI adoption across teams.

Create short-form vertical videos for TikTok, Instagram Reels, and YouTube Shorts, using AI tools and editing techniques to produce serial micro-dramas.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Design, build, and maintain AI-enabled web applications using various technologies, focusing on developing scalable solutions and collaborating in Agile teams.

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

Design and build scalable ETL/analytics pipelines and curated datasets from multiple ERPs, create SQL-based reporting and BI dashboards, collaborate with stakeholders to define KPIs, and ensure multi-tenant, performant, documented data products that scale across customers.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

Build and deploy AI features, fine-tune and maintain language and multimodal models (HuggingFace), create AI automations and agents, develop tools/frameworks, guide dataset creation, run R&D experiments from POC to production, and monitor model performance.

Design and build on-premise, containerized backend microservices and orchestration layers that enable LLMs and autonomous agents to interact securely with enterprise systems. Implement secure API gateways, vector DB connectors, high-availability and auditable data access, RBAC and PII/ITAR protections, and enterprise-grade logging, tracing, and monitoring while operating within structured delivery and audit environments.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The role involves reviewing AI-generated outputs, analyzing multimedia, and providing culturally relevant content feedback. Strong analytical skills and attention to detail are required.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

The role involves designing AI agents for operations, developing ML models, and integrating solutions into workflows while collaborating with teams.

Lead global delivery of enterprise technology change and improvement initiatives. Manage regional teams, roadmaps, budgets, governance and Business Management; drive AI and cloud modernization, stakeholder engagement, operational excellence, service catalogs, and client-focused delivery metrics.

Perform guided evaluations of filters and options on desktop and mobile to ensure relevance to customer queries. Follow guidelines, conduct online research, complete qualification tests, and maintain accuracy and consistency. Work remotely as a freelance data rater in Swedish, completing 5–15 flexible hours weekly.

Design, build, and operate scalable backend services and APIs for AI-enabled applications, collaborate on integrating AI capabilities, and ensure reliability and maintainability of production systems.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

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.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.