Top Artificial Intelligence Jobs in Hungary

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

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.

Design, prototype, and integrate LLM-powered AI features across Canvas and other products. Own feature development from architecture to release, establish LLM best practices, collaborate with cross-functional teams, and drive technical decisions to deploy scalable, responsible AI solutions that improve education outcomes.

Build, deploy, and operate production ML/AI systems and scalable inference services on AWS. Implement MLOps practices (CI/CD, versioning, monitoring), pipelines, and evaluation frameworks. Partner with product, research, and engineering to productionize AI features and maintain operational reliability and observability.

Lead the development of complex data pipelines and AI/ML systems, manage technical objectives, mentor junior engineers, and drive architectural decisions.

The Technical Presales Specialist will support IBM's Data & AI software solutions, act as a technical expert, and assist partners with solution design, presentations, and customer engagements.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Perform remote data tasks to improve AI-generated Hungarian content, including data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design and develop AI-enabled software solutions using tools like Microsoft Copilot, integrating applications within the Microsoft ecosystem and expanding to platforms like Snowflake and Salesforce. Collaborate with stakeholders to validate needs, prototype solutions quickly, and guide effective use of AI tools.

Provide customer support for brands through social media and email, ensuring prompt responses and engaging service. Flexible hours and remote work.

Design and implement APIs and services for agentic online learning tools, maintaining performance and security standards, while collaborating with product teams to improve user experience.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Lead enterprise AI and data strategy, design GenAI solutions for banking, guide C-level stakeholders, define product vision and roadmaps, oversee implementation, and enhance AI offerings and go-to-market strategies.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.