Top Artificial Intelligence Jobs in Hungary

The Staff AI Solution Architect will lead the design, development, and support of AI-driven enterprise applications for global functions, ensuring compliance and performance while collaborating with cross-functional teams and stakeholders.

As a Senior Quantitative Analyst, you'll develop credit risk models, perform econometric analyses, conduct data analyses, and ensure compliance with regulatory requirements while collaborating globally.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

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

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

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 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.

As a Legal Engineer, you'll design AI-powered legal workflows, collaborate with clients, and support product improvements in a fast-paced environment.

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

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

The AI Solution Engineer translates AI opportunities into solution designs, implements AI use cases, and coordinates with stakeholders to ensure compliance with architectural standards.

The AI Systems & Data Engineer will handle data migration, build AI solutions, integrate systems, and automate workflows for HR transformation.

The Backend Engineer will build and scale backend services and APIs, improve system performance, and design scalable architectures in a collaborative environment using AI coding tools.

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

As a Staff AI Software Engineer, you will design AI-enabled software solutions, integrate various applications, and aid in developer enablement while collaborating with teams to deliver impactful results.

The Principal Data & AI Consultant leads data-related projects, manages revenue targets, supports sales efforts, and coordinates with teams to deliver integrated AI solutions while ensuring client satisfaction and account growth.

The AI Platform Engineer will configure and evolve enterprise AI platforms, develop APIs, ensure reliability of AI services, and support CI/CD processes.

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

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.

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