Top Artificial Intelligence Jobs in Budapest

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

Lead the design and architecture of AI infrastructure solutions, support customer engagements, and conduct technical discussions. Develop lab infrastructure and manage proof-of-concept projects.

We seek a Senior Python Engineer to manage technical objectives, lead development on data pipelines and AI/ML systems, and mentor junior engineers.

Lead the design of complex managed service solutions for enterprise clients, develop IT strategies and roadmaps, and collaborate with sales teams. You'll synthesize technology trends with business objectives, manage governance, and innovate across various domains.

As a Senior Full Stack Engineer, you will build custom AI-powered workflows and full-stack applications, translating client needs into technical solutions while collaborating with internal teams and developing internal tools.

Oversee research, planning, execution, and delivery of product launches for EverAI's AI platform, ensuring project goals are met and user needs are satisfied.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

As a Senior AI Engineer, you will deliver AI solutions, collaborate with teams to translate user needs, and improve data processes while mentoring juniors.

The role involves collaborating with teams to design and build AI-driven applications, managing product deliverables, and addressing real-world problems.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As a Software Engineer, you'll develop backend services, collaborate with teams, manage features, and apply secure practices while learning from peers.

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.

As a Lead Software Engineer, you'll guide the Neural AI team in AI-driven localization, focusing on machine translation, foster team autonomy, mentor engineers, and represent the team in cross-functional discussions while ensuring impactful outcomes.

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

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.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

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 Python Engineer will develop and deploy AI systems, optimize LLM performance, and collaborate with teams to deliver impactful solutions.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.