Top Artificial Intelligence Jobs in Hungary

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

The AI Engineer will design and develop AI solutions, focusing on proof of concepts using GenAI platforms, manage projects, and ensure Agile delivery.

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.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

The AI Governance Associate will provide administrative and governance support to the WM GenAI team, managing scheduling, documentation, compliance, and stakeholder communication in a fast-paced environment.

Design and maintain backend systems, develop data processing pipelines, manage APIs, make architectural decisions, and integrate AI tools for a data-intensive enterprise platform.

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.

The role involves reviewing and evaluating AI-generated outputs, generating original content, and ensuring quality through detailed feedback. Strong cultural awareness and language proficiency are essential.

The Senior AI Vertical Mini-Series Director will manage the production of short drama series, ensuring quality storytelling and collaboration with AI tools and content creators.

The Senior AI & Data Consultant will design AI strategies, advise executives, oversee AI tool adoption, and help grow AI services, primarily within the banking sector.

The AI Engineer (Backend) will leverage AI tools to enhance development workflows, create backend solutions, and collaborate with cross-functional teams to build scalable features across the company’s platform.

As a Customer AI Analyst, you will optimize customer accounts for AI performance, design prompts for LLMs, deliver insights, and collaborate with teams to enhance service delivery and customer engagement.

As a Customer AI Strategist, you will guide enterprise marketers in Europe through AI Marketing strategies, ensuring measurable results and driving business transformations while managing key client relationships and collaborating with internal teams.

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

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

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.

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.

The Senior Backend Engineer will design and build scalable APIs and solutions for enterprise applications, focusing on data quality and collaboration with data scientists for AI integration.

As an AI Solutions Architect, you will design scalable AI architectures, evaluate technical feasibility, define product requirements, provide mentorship, and assess AI models for enterprise deployment.