Top Artificial Intelligence Jobs in Czechia

Lead a cross-functional engineering team to build and evolve an Agentic AI framework integrating location intelligence and customer workflows. Own core framework delivery, ensure engineering quality, partner with product and platform teams, and embed AI-assisted workflows to boost productivity.

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.

Build and integrate agentic AI capabilities enabling LLM-driven real-world actions via location intelligence. Design execution logic, integrate data providers and services, implement tool interfaces, manage sessions and context, and rapidly prototype and iterate on reliable, cost-aware agentic workflows.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

Lead and deliver petrophysics, seismic petrophysics and rock physics consulting projects and training. Develop best-practice workflows, support sales with technical proposals, publish and present technical work, and build customer relationships to grow consulting services and software adoption.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Design, implement, test, and maintain full‑stack software across backend and frontend. Participate in full product lifecycle, review peer code, create documentation, collaborate globally, and help drive strategic goals.

Design, build and maintain backend services and data pipelines; drive technical design and implementation; ensure product and technical excellence through testing, performance tuning, instrumentation, and automation; collaborate across global teams and lead projects in distributed, large-scale systems.

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.

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.

Project-based work speaking with AI chatbots in Czech (cs_CZ) using voice mode, pursuing predefined conversation goals, then rating the interactions in English. Work is remote, uses personal smartphone and laptop, follows provided guidelines and confidentiality, and may require varied recording environments.

Post-sales technical lead for strategic EMEA accounts, advising on cloud-native and AI deployments. Own technical relationships, troubleshoot escalations, design architectures for LLM/agentic workloads, drive product adoption, deliver training, and feed customer insights to Product and Engineering.

Build ShipMonk's AI domain: consult with stakeholders to identify real problems, design and implement AI/ML projects from prototype to production, make AI tools accessible to non-technical teams, and balance technical complexity with business impact.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Develop tools and libraries in Python for neural network optimization, contribute to open-source projects, and enable AI technologies on devices.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

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.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Lead customer engagements to design and deliver production-ready data, ML and Generative AI solutions on Google Cloud. Run architecture and GenAI workshops, create solution and implementation roadmaps, build end-to-end data and AI pipelines, establish MLOps/LLMOps practices, advise on LLM integration/RAG/prompt engineering, support pre-sales, mentor junior engineers, and contribute reusable frameworks and offerings.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.