Top Artificial Intelligence Jobs in Hungary

Lead a senior engineering team to build production LLM systems at Wise, shaping the AI technical vision and collaborating across functions.

As an AI Solutions Architect, you'll lead technological advancements, innovate solutions, and mentor staff within Ericsson's technical domain.

The Senior Data Scientist will own AI projects, prototype LLM solutions, evaluate AI performance, and mentor junior data scientists.

The role involves setting AI strategies, bridging tech and business needs, advising executives, planning roadmaps, and driving AI adoption for business growth.

Lead the product strategy for AML screening and agentic AI at SEON. Collaborate with engineering teams, mentor junior product managers, and guide executive leadership on market positioning and compliance requirements.

As a Senior Software Engineer, you'll lead design and development of scalable components for the Wise Assistant, innovate with AI, and mentor engineers.

The Sr. Manager of Analytical Sciences leads multiple analytical teams, managing a $15MM budget, driving innovation, and ensuring quality standards while collaborating across departments to address complex challenges.

The AI Software Developer will create AI-driven applications, collaborate with teams, analyze requirements, and design scalable products to solve real-world problems.

The Senior Software Engineer will design, develop, and deploy ML and LLM-based systems, collaborating with teams to enhance AI platform services.

This role involves owning the architecture and delivery of LLM systems, optimizing ML workloads, mentoring team members, and designing AI solutions tailored to client needs.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

This role requires leading data science projects, collaborating with clients and teams, while utilizing advanced AI/ML technologies and methodologies.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

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

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.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

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.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

The AI Solution Architect will support AI use case discovery, prototype development, and bridge communication between business teams and technology, ensuring alignment on requirements and outcomes.

The Software Engineer will develop AI applications for customer experience using full-stack skills, handling features end-to-end, and collaborating with various stakeholders.