Top Artificial Intelligence Jobs in Budapest

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.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

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

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

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 role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

The role focuses on creating and implementing Data & AI strategies, advising executives, and managing projects to drive AI adoption and business growth.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior AI Engineer will design and implement core AI systems for the Compliance in a Box platform, collaborating with cross-functional teams and ensuring performance and quality of AI agents.

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.

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

Lead HR data quality and AI-readiness by partnering with HR COEs to identify, prioritize, and remediate data issues in Workday. Define data standards, validate downstream feeds, map data dependencies for planned agents and analytics, and report readiness and risks to roadmap owners. Work closely with HCM Data Governance, HR Technology, and Global Solutions to enable trusted reporting and safe AI adoption.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

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.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Partner with business and technology stakeholders to discover AI use cases, design agentic workflows, perform prompt engineering and prototyping, evaluate model behavior and risks, assess feasibility and value, document requirements, and coordinate delivery of MVP AI solutions.

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

Localize and execute central Libra marketing campaigns for Hungary: adapt messaging and assets, coordinate cross-team rollout across email, web, social and events, organize webinars, support local activations and sales follow-up, monitor basic campaign performance, and conduct market and competitor research.

Design, prototype, and productionize specialised LLMs by working with model weights, attention mechanisms, and efficient architectures. Build reusable Python libraries, run experiments and evaluations, and deploy models on GPU-accelerated AWS infrastructure (SageMaker/EC2/S3). Contribute to research-to-production lifecycle, maintain evaluation frameworks, optimize infrastructure for cost and velocity, and collaborate on the team's research agenda while mentoring junior engineers.

Create high-quality communications (videos, infographics, training, toolkits) and lead projects to enable AI-driven improvements. Translate complex topics for stakeholders, drive adoption and change management, implement standard work and AI tools to improve SQDC outcomes, and measure project performance for continuous improvement.

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.