Top Artificial Intelligence Jobs in Hungary

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

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

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design and develop AI-enabled software solutions using tools like Microsoft Copilot, integrating applications within the Microsoft ecosystem and expanding to platforms like Snowflake and Salesforce. Collaborate with stakeholders to validate needs, prototype solutions quickly, and guide effective use of AI tools.

Lead design, develop, and deploy Salesforce solutions including Apex, Visualforce, LWC, integrations (REST/SOAP), and Tableau reporting. Conduct code reviews, troubleshoot complex issues, enforce best practices, and mentor teams while implementing Sales, Service, Marketing, and Experience Cloud solutions.

Design, develop, and deploy Salesforce solutions (Apex, Visualforce, LWC), build Tableau reports, integrate with external systems via REST/SOAP and middleware, perform code reviews, troubleshoot issues, and stay current with Salesforce best practices.

Provide customer support for brands through social media and email, ensuring prompt responses and engaging service. Flexible hours and remote work.

Design and implement APIs and services for agentic online learning tools, maintaining performance and security standards, while collaborating with product teams to improve user experience.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

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 AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

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.

Lead enterprise AI and data strategy, design GenAI solutions for banking, guide C-level stakeholders, define product vision and roadmaps, oversee implementation, and enhance AI offerings and go-to-market strategies.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

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.

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 Data Scientist leads data science projects, engages with clients to define technical requirements, and integrates AI/ML solutions while mentoring the team.

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

Design, build, and ship production retrieval systems for AI applications, owning retrieval architecture decisions and collaborating with cross-functional teams.

The Senior AI/ML Platform Engineer will build CI/CD workflows, design operational standards for AI services, and collaborate with teams to productionize AI capabilities.

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.

The AI Automation Developer Trainee will automate server roll-outs, simplify installation processes, and introduce AI concepts, while supporting agile development in a team-oriented environment.