Top Artificial Intelligence Jobs in Hungary

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Lead the development of data infrastructure for AI initiatives, optimize data pipelines, collaborate with AI teams, and implement data governance measures.

The role involves determining valuable product developments through research, data analysis, and collaboration with engineers and designers, using AI tools to prototype and validate ideas quickly.

As a Product Designer, you will focus on framing the right problems to solve, engaging with AI tools for prototyping, and aligning user needs with business objectives.

The role seeks curious individuals who have built AI projects, emphasizing learning speed, ownership, and the ability to iterate. Candidates are encouraged regardless of traditional experience.

Join a small team to own features from problem definition to production, using AI tools to enhance impact, validate code, and collaborate with others.

Responsible for leading technical execution of AI solutions, ensuring quality and readiness. Oversee engineering practices and collaborate with teams for integration and deployment.

Lead hands-on technical execution for AI solutions, ensuring quality across development phases while enforcing engineering practices and managing vendor contributions.

The role involves building and enhancing data pipelines and ETL processes for AI initiatives, collaborating with various teams to deliver reliable data solutions, and ensuring compliance and data quality.

As an AI Content Evaluator, you'll review and assess content against guidelines, ensuring annotation quality and accuracy across various formats, while working part-time remotely.

The Senior AI/ML Engineer will design and implement AI/ML solutions, lead project discussions, mentor junior staff, and provide technical guidance in a cloud environment.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

The AI Scientist analyzes complex datasets, develops AI-driven methodologies, collaborates on research projects, and communicates insights in healthcare.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

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.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

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 Principal Software Engineer will lead AI initiatives, shape engineering architecture, mentor engineers, and guide technical decisions in a sizable organization, focusing on AI governance and platform design within AWS.

As a Staff Software Engineer, you'll design and implement secure microservices with AI integrations on AWS, mentor engineers, and shape technical strategies.

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.