Top Artificial Intelligence Jobs in Czechia

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.

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

As an AI Architect, you'll lead the architectural direction of AI capabilities, design systems, mentor engineers, and ensure robust implementation across tech stacks.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

Lead a team of developers to build and deliver full-stack applications, optimize performance, and integrate third-party APIs, while ensuring engineering excellence.

Design AI workflows, engineer prompts, evaluate AI components, and build environments for LLM operations, focusing on security and efficiency.

This role involves designing, developing, and deploying AI and automation solutions, ensuring integration with enterprise systems, and meeting security standards. The position requires hands-on engineering skills in AI development, particularly with Python and AI frameworks.

Optimize and integrate AI-powered recommendations into email marketing, ensuring personalized content based on user behavior. Collaborate with developers and data engineers.