Top Artificial Intelligence Jobs in Czechia

Design, develop, test, deploy, and maintain backend services and data pipelines. Ensure technical and product excellence, performance, and engineering best practices. Collaborate across global teams, drive projects, and contribute to large-scale system design and distributed computing challenges.

Lead strategy and delivery for QAD ERP and related enterprise applications. Drive roadmap, integrations, data governance, operational excellence, security compliance, change management, and global team development.

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.

Lead design and deployment of AI agents and workflow automations across Supply & Operations, coach and lead Operational Excellence (Lean/Six Sigma) projects, build OE capabilities, embed continuous improvement and AI-driven workflows into enterprise systems, and lead global OE programs and strategies in External Supply.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

The Senior Quality Engineer ensures software quality by testing complex systems, developing test strategies, mentoring junior staff, and promoting quality practices throughout the organization.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Work on clinical-domain machine learning projects end-to-end: translate business questions into predictive models, implement models (Python, R, PySpark), support deployment/MLOps, collaborate with stakeholders, and contribute to team initiatives and seminars.

As an AI Legal Specialist, you will implement AI solutions, provide product expertise, and ensure seamless AI integration for legal clients.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

Identify and validate high-value AI use cases for financial services, lead discovery workshops, build ROI-driven business cases, map and redesign workflows, define technical requirements and acceptance criteria, prototype solutions with no-code tools, implement AI governance and ontologies, and ensure business-aligned delivery and compliance.

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

Architect, develop, and deploy AI-enabled solutions using React frontends and Python or .NET backends. Enhance LLM engines with Azure OpenAI, sync data to Azure AI Search, use Kafka for messaging, build robust APIs, and mentor junior developers while collaborating with product, DevOps, and QA teams.

Lead development and operationalisation of Responsible AI frameworks and compliance processes. Translate regulations (EU AI Act, GDPR) into controls, implement risk assessment, bias detection, model validation, embed governance in development lifecycles, manage audits and incident response, and drive stakeholder engagement and training.

Lead QA for AI platforms by defining test strategy, automation, and quality governance. Design AI-specific and CI/CD-integrated test frameworks, validate agent behavior, manage QA team, enforce quality gates, drive metrics and continuous improvement across engineering and product teams.

Lead design and governance of ICON's end-to-end AI platform, multi-agent frameworks, and supporting services. Define cloud-native, scalable architectures, integration patterns, APIs, and standards; lead solution architecture, design reviews, and mentor engineering teams to deliver secure, high-performing AI/ML production systems.

Lead and mentor a team of senior full-stack developers to design, build, and ship scalable full-stack features and internal tools using Next.js, React, TypeScript, Prisma, and PostgreSQL. Architect systems, optimize performance, integrate third-party APIs, establish engineering best practices, and own projects end-to-end while leveraging AI-assisted development tools.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

Design, build, test, and maintain ML/AI software solutions; ensure product and technical excellence; apply ML, NLP, and large-scale system practices; collaborate across global teams; follow engineering best practices and support strategic goals.

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

Lead and build the AI foundation for an AI-native vulnerability management platform. Own AI strategy, evaluation frameworks for non-deterministic agents, fine-tuning and model-routing experiments, prototype and ship agentic features, and lead a small hands-on AI team to productionize breakthroughs in generative AI for cybersecurity.

Design, build, and operate production-grade automations that reduce manual work across Operations, Support, Finance, and Tech. Identify high-volume automation opportunities, integrate with existing systems via APIs/webhooks, apply AI/LLMs for classification/routing/summarization, and ensure reliability, observability, and iterative improvement of workflows.

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