Top Artificial Intelligence Jobs in Czechia

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.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Evaluate Czech-language online ads for quality, relevance, and placement. Provide feedback, perform keyword research, identify trends, and collaborate to improve ad targeting and user experience. Complete required training, sign an NDA, and pass a quality assessment before starting.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

Provide deep technical sales support for Red Hat AI across EMEA: design and architect AI/ML systems, run technical workshops and POCs, remove adoption blockers, collaborate with sales, engineering, partners, and advocate product feedback and customer enablement.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

Design and implement AI projects, balance technical complexity with business impact, and collaborate with stakeholders to deliver value using AI and data.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Manage AI-powered customer engagement throughout the customer lifecycle by developing analytics tools, optimizing customer metrics, and leading cross-functional collaboration.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Developer will refactor a prototype into a multi-agent system, design orchestration and communication logic, implement guardrails, integrate APIs, and optimize performance while collaborating with teams for robust design.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.