Top Artificial Intelligence Jobs in Romania

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

The Senior AI Engineer will develop an enterprise-grade Agentic Framework for automating production lifecycles in heavy industries, ensuring quality and scalability while leading from design to implementation.

The Senior Python AI Software Engineer at Nearform designs and builds applications, optimizes performance, collaborates with clients, and supports various projects, focusing on Python and AI solutions.

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 and maintain backend services, build React interfaces, architect AI-powered pipelines, and ensure performance of async data processing. Collaborate with teams and set best practices.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The QA Network Engineer will test AI datacenter networking solutions, focusing on SONiC systems, smart NIC integration, and performance for AI workloads.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

The Engineering Manager leads a senior team on an automotive marketplace product, focusing on technical delivery, project ownership, and strategic company initiatives involving AI applications and cloud technologies.

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

The Data Scientist will work on data analysis, applying machine learning and generative AI to extract insights from diverse data sources in predictive maintenance and digital twins.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

Responsible for lead generation and qualification in the Web3 and AI sector, collaborating with business development and marketing teams to identify prospects and track progress in a CRM system.

Develop and edit videos and digital content using AI tools, build landing pages, package courses, and maintain production operations and reporting.

The AI Automation Engineer designs and maintains AI-driven automation solutions while collaborating with stakeholders to create scalable technical solutions that enhance enterprise business applications.

As a Legal Engineer, you'll design and implement AI-powered legal workflows, engage clients to optimize legal processes, and enhance product feedback for continuous improvement.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Seeking a Lead FullStack Engineer to develop and maintain a high-traffic AI-powered car market platform using various technologies and AI frameworks.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.