Top Artificial Intelligence Jobs in Hungary

Manage and implement digital quality solutions while ensuring compliance with quality standards in pharmaceutical manufacturing and supply chain processes. Lead projects, support user adoption, and ensure effective use of digital tools across organizations.

Lead design, build, and deploy scalable microservices and AI-driven contact automation for the Wise Assistant. Own intent detection, contact pipelines, routing logic, integrations with LLMs and AI agents, performance optimization, and mentor engineers to improve customer support automation.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Regional Technical Director leads the PMC technical team, drives growth through product development, and ensures safety and compliance with corporate policies.

Develop and maintain automation frameworks for IMS system verification, utilizing cloud-native environments and Python for building tools and services.

As an AI development and data scientist intern, you'll design multi-agent workflows, build machine learning models, clean data, optimize performance, and write Python code.

Lead implementation of AI solutions, manage vendor relationships and compliance, conduct market research, and evaluate data privacy regulations.

Design and develop a platform for AI and machine learning at Cloudera. Collaborate with various teams and ensure user-friendly interfaces while enhancing developer efficiency.

The Senior Software Engineer - AI will design and develop AI-driven applications, integrate machine learning models, and collaborate with cross-functional teams to implement intelligent features for business challenges.

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 AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

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.

As a Manager Legal Engineering, you will design AI-powered solutions for legal workflows, collaborate with clients and internal teams, and drive product development and customer success.

As a Senior Software Engineer, you'll design and implement backend services, ensuring stability, performance, and security for AI-powered products, while collaborating across teams and mentoring others.

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

The Team Manager for Enterprise AI will lead an international team, manage complex projects, and drive innovation in AI and technology solutions for Evonik.

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.