Top Artificial Intelligence Jobs in Czechia

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

Lead strategy for Thales' cloud IAM solutions, drive product planning, ensure service delivery excellence, and collaborate cross-functionally for innovation and compliance.

As an AI/LLM Engineer, you will design, develop, and optimize AI solutions, focusing on machine learning and integration with cloud platforms.

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

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

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

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

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 VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

As an IT Project Coordinator, you'll facilitate project operations, coordinate AI tool implementation, and maintain documentation to support effective product development.

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 AI Native Product Designer, you will own the design for features within the Wallet domain, collaborating on flows and producing functional prototypes using AI tools and vibe coding.

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 AI Engineer will design, build, and deploy AI solutions, optimize performance, manage pipelines, and collaborate with stakeholders on AI product development.

The role involves designing and managing robust software architecture for Robotics AI and Data & Analytics, ensuring compliance and integration across systems while optimizing services.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

The AI Engineer will develop AI solutions using LLMs, assist with agentic workflows, and collaborate on AI-powered features for packaging processes.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

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

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 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 Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The AI Product Manager will drive AI strategy, prioritize opportunities, collaborate with stakeholders, and manage product requirements to deliver AI-driven solutions.