Top Tech Jobs & Startup Jobs in Hungary

Join a remote, product-focused team to build and improve the Web SDK: ship small end-to-end features, fix bugs, add tests, improve CI/dev experience, collaborate with Product/Design, and learn through code reviews and pairing.

Manage and grow strategic client accounts by identifying needs, designing tailored supply-chain solutions, leading negotiations, coordinating cross-functional delivery, monitoring project profitability and payments, and producing market insights to drive product and process improvements.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

Lead Kevel’s product design strategy and practice while remaining hands-on in delivering user-centered B2B SaaS experiences. Establish design standards, research and critique practices, UX metrics, accessibility guidelines, design systems, and operational processes. Partner with executive, product, engineering, and commercial teams; mentor and hire designers; manage design tools and vendors; and guide end-to-end discovery, prototyping, interaction design, and engineering handoff across complex product surfaces.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Act as the primary contact for suppliers, ensuring effective communication and performance management while supporting the Supplier Account Manager.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

As a Senior Data Engineer, you'll deliver complex projects using Apache Spark/Databricks, manage customer relationships, mentor junior engineers, and contribute to team success.