Top Artificial Intelligence Jobs in Czechia

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

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.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

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.

The AI Tech Lead is responsible for leading the technical execution of Agentic AI solutions, ensuring engineering standards and quality are met. This role includes translating architecture into build plans, enforcing coding standards, troubleshooting, and overseeing vendor contributions, while collaborating with various teams for successful project delivery.

The AI Content Evaluator will review and annotate content based on guidelines, ensuring quality and consistency, and complete tasks on a part-time basis.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

The Staff/Senior AI Product Engineer will develop AI-powered features, enhance tech stack, design agent workflows, run experiments, and improve workflows with AI in product development.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

The Staff/Senior AI Product Engineer will build AI-powered product features, enhance the tech stack, design agent workflows, and collaborate across teams to implement AI solutions for product management.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Design and maintain backend services, build React interfaces, architect AI-powered pipelines, and ensure performance of async data processing. Collaborate with teams and set best practices.

Lead a small engineering team to design AI-driven test automation solutions, conduct code reviews, improve software development practices, and mentor less experienced developers.