Top Artificial Intelligence Jobs in Czechia

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

Design, build, and integrate AI-powered features into 8am products. Collaborate with product, engineering, and data teams to prepare data, develop and deploy LLM-based services, write Python code, and build reliable, scalable AI infrastructure and monitoring.

Design and build AI-powered search features, collaborate with team members, and optimize retrieval pipelines while ensuring data is correctly indexed for search systems.

As a Golang Engineer, you will design, develop, and optimize distributed backend systems, focusing on performance, scalability, and P2P communication. You'll collaborate in an Agile environment and improve backend infrastructure while mentoring fellow engineers.

The AI Solutions Engineer designs, builds, and deploys AI-driven solutions to improve efficiency and productivity, collaborating with stakeholders to address business challenges.

Lead the LLM team at EverAI, overseeing architecture and deployment while actively contributing code and strategies for model lifecycle and moderation.

Lead innovative data science initiatives using AI and analytics to solve healthcare challenges. Collaborate on data management, present insights, and drive strategic decisions.

Develop tools and libraries in Python for deploying and optimizing neural networks for mobile and embedded devices, contributing to opensource projects and collaborating with a multinational team.

Seeking a Junior/Mid AI Video Artist to produce engaging video content, collaborate on concepts, and leverage AI tools for marketing. Responsibilities include editing, post-production, and adapting content for various platforms.

Join the AI engineering team to develop a GenAI solution for intelligent contract clause extraction, integrating Azure Document Intelligence and developing frontends in React.

Lead the vision and execution for AI analytics in JetBrains Console, focusing on customer adoption, usage, cost, and decision-making.

As a Senior AI Research Engineer, you will lead research initiatives in NLP and computer vision, design experiments, and develop production-ready models.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As an AI/ML Engineer, you'll design scalable AI solutions, collaborate with teams, and manage deployment in production environments.

As a Senior AI Product Manager, you will drive the development of AI-native features, collaborating with teams, and engaging with customers to enhance the Clarity platform.

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

The role involves defining system architecture, conducting technical spikes, and designing agent behaviors in the development of a new LLM-based agent system.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The role involves data collection, evaluation, comparison, and annotation to enhance AI-generated content in Vietnamese, ideal for flexible workers.