Top Tech Jobs & Startup Jobs in Hungary

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

Lead system-level definition and delivery of next-generation multiphysics compute platforms: own architecture from concept to tape-out, drive modeling and specs, mentor RTL/verification/physical teams, collaborate with software and packaging, evaluate new directions and de-risk prototypes to ensure scalable, high-performance silicon.

This position involves supporting organizational operations by managing communications, coordinating tasks, and ensuring efficient workflow.

As a Staff Backend Engineer, you'll architect scalable backend systems, oversee technical decisions, mentor engineers, and optimize for performance and reliability.

Lead product design for Kota Embed, owning design quality in a fast-moving environment. Design complex, data-constrained interfaces, build reusable design-system patterns, run rapid research and prototyping, collaborate across stakeholders and engineering, and produce working prototypes as spec to close the gap between design and implementation.

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

As the Director of Business Development, you will drive revenue through new client relationships, manage the sales cycle, and ensure client satisfaction while collaborating with diverse teams.

As a Mid-Market Account Executive at Orkes, you will generate leads, develop sales strategies, and grow customer relationships to achieve sales targets.

As a Localization QA Game Tester, you'll collaborate with a project team to identify and correct language errors, ensure accurate content translation, and contribute to game quality.

Develop and deploy production-ready generative AI applications using Python, LLMs, RAG, AWS Bedrock, and OpenAI APIs. Responsibilities include model customization, API integration, data preparation, performance tuning, production deployment, documentation, and cross-functional collaboration. The role focuses on applied engineering rather than research and requires experience integrating AI solutions into business applications.