Top Artificial Intelligence Jobs in Budapest

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

Lead sales pursuits for private cloud AI solutions, build and manage pipeline, collaborate with account managers, develop pursuit plans, engage clients up to C-level, contribute to proposals and negotiations, drive renewals, and use Siebel for forecasting and deal management. Requires vertical industry knowledge and regional language skills.

As an AI Solutions Architect, you will design scalable AI architectures, evaluate technical feasibility, define product requirements, provide mentorship, and assess AI models for enterprise deployment.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

Design, build, and maintain production-grade Python APIs and backend services (FastAPI); develop, deploy, and optimize LLM applications (OpenAI, Anthropic); implement end-to-end RAG with vector databases and semantic search; build MCP servers, multi-agent systems, event-driven architectures, and messaging; create and refine prompts and agents; monitor, secure, and scale AI infrastructure while collaborating across teams.

The Technical Presales Specialist will support IBM's Data & AI software solutions, act as a technical expert, and assist partners with solution design, presentations, and customer engagements.

Identify and validate high-value AI use cases for financial services, lead discovery workshops, build ROI-driven business cases, map and redesign workflows, define technical requirements and acceptance criteria, prototype solutions with no-code tools, implement AI governance and ontologies, and ensure business-aligned delivery and compliance.

Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

As the Finance AI & Digital Transformation Senior Manager, you will lead the innovation in finance through AI solutions, collaborate with stakeholders, manage product ownership, and drive adoption of digital tools.

The AI Platform Architect leads enterprise architecture for cloud and hybrid platforms, defines API and data governance strategies, oversees AI/ML infrastructure, and mentors engineering teams while ensuring compliance and security.

The Architect will design and build AI products, manage full product lifecycles, and lead teams in creating innovative software solutions.

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.

Lead end-to-end data science projects with a product mindset: design, build, deploy and maintain ML/LLM solutions. Engage clients and presales, collaborate cross-functionally, mentor team members, and stay current with AI/ML advances to integrate scalable, production-ready models into products.

The Software Engineer will develop AI applications for customer experience using full-stack skills, handling features end-to-end, and collaborating with various stakeholders.

The Senior Data Scientist will own the ML lifecycle, design AI services, implement MLOps practices, and mentor team members in production ML capabilities.

The Senior Product Manager will oversee the Agentic AI Accelerator Platform, driving component development, aligning teams, and ensuring usage for revenue generation.

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.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The AI Video Editor / Motion Designer creates AI-driven videos to improve conversion rates through creative storytelling and motion design using advanced video editing tools.

The Generative AI Design Specialist creates AI-generated visual content for marketing, focusing on technical quality and consistency, while collaborating with production teams.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.