Top Artificial Intelligence Jobs in Budapest

As a Manager Legal Engineering, you will design AI-powered solutions for legal workflows, collaborate with clients and internal teams, and drive product development and customer success.

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

The Principal Solutions Engineer will lead technical sales, engineer AI solutions, present to executives, and advocate for customers' needs, leveraging extensive AI knowledge.

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

The Presales Lead develops customer partnerships, leading service opportunities, ensuring successful project delivery, and collaborating with sales and product teams on strategic growth.

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 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.

As a Senior AI Engineer, you'll architect and deploy AI solutions on GCP, transform AI experiments to production, and conduct training sessions.

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.

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

The Supply Chain AI Specialist will develop AI/ML solutions to enhance supply chain performance, including forecasting models and optimization solutions, while collaborating with IT and business stakeholders.

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.

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.

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

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

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.

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.