Top Artificial Intelligence Jobs in Budapest

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

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.

The AI Solution Architect will design AI and ML solutions, oversee pre-sales processes, create project estimates, and validate proposals, ensuring technical accuracy and client engagement.

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.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

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 AI Solution Architect will design innovative AI solutions on Google Cloud, lead pre-sales efforts, and collaborate with various teams to ensure successful project delivery and client satisfaction.

The role involves designing authentication flows for AI agents, building secure token systems, and creating high-performance server-side components while collaborating with frontend teams and improving system performance.

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

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.

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.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

Lead the LLM team by architecting and optimizing systems for AI companionship, focusing on production code, data management, and advanced moderation strategies.

Develop and support cloud-based big data tooling and analytics for Sophos AI, focusing on ML systems and using Agile methodologies. Implement CI/CD and operational monitoring for AI systems.

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.