Top Artificial Intelligence Jobs in Czechia

Build a model enablement platform for heterogeneous AI computing across AIPUs, CPUs, GPUs, NPUs, and other accelerators. Responsibilities include model ingestion, graph partitioning, compilation, runtime execution, performance profiling, memory and scheduling optimization, large-model offloading, and verification integrated into CI. The role combines architecture ownership with hands-on C++ and Python engineering across model frontends, compilers, runtimes, and application pipelines.

Own LLM and VLM enablement on Axelera AI hardware, from studying and profiling models through productionizing them in the Voyager SDK. Responsibilities include PyTorch references, quantization, weight mapping, model contracts, pipeline integration, KV-cache management, multimodal serving, accuracy validation, and bring-up platform development. The role also shapes GenAI, agent, and speech capabilities for edge devices.

Own end-to-end AI transformation engagements, from diagnosing high-value opportunities and rebuilding business processes to establishing governed data and AI foundations, enabling client teams, measuring ROI, and delivering sustainable outcomes. The role combines consulting delivery with business development, including pipeline generation, proposal development, deal closing, value-based pricing, and commercial ownership. It requires hands-on use of modern AI tools, executive and operational facilitation, and on-site work in Prague with client travel.

Develop Python tools, libraries, and algorithms to optimize, deploy, profile, and benchmark neural network models on embedded and mobile devices. Contribute to open-source projects such as PyTorch, ONNX, and TensorFlow, enable AI models on edge platforms, explore research, and co-develop software for AI accelerators.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Lead the AI architecture for Productboard Insights, designing agent-native systems, context infrastructure, self-healing workflows, evaluation processes, and AI code-review optimization. Own technical direction across Insights, Spark, and platform teams; drive features from concept through beta; optimize quality, latency, cost, and reliability; write production code; and develop engineers through documentation and reviews.

Develops AI and LLM-based automation for spending analysis, system testing, and simulation generation. The role involves building AI models, transforming financial data into insights, designing prompts and workflows for Sys.5 testing, and creating synthetic scenarios. Candidates should be enrolled in a technical degree program and have experience with LLMs, prompt engineering, Python, data analysis, and visualization. This is a part-time trainee position with flexible hours and home-office options.

Build and own AI models, data pipelines, evaluation suites, and AI product features for construction procurement software. Develop document extraction and workflow automation using generative AI, LLMs, RAG, and optimization algorithms. Design complex data models, integrations, backend services, and production systems using Go, GraphQL, PostgreSQL, and AWS.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Provides global FP&A leadership for Operations and the Chromatography and Mass Spectrometry Division. Oversees financial reporting, analytics, forecasting, AOP, long-range planning, close cycles, and risk and opportunity reviews. Partners with cross-functional teams to improve business performance, streamline finance processes, and support compliant decision-making under US GAAP and SOX. Requires strong finance business partnership, manufacturing or supply chain finance experience, systems expertise, and approximately 10% domestic and international travel.

Build a production-ready MVP for a realtime AI startup, develop proof-of-concepts with pilot customers, and help shape the product’s technical vision. The internship provides hands-on experience with OpenAI’s Realtime API, LLM streaming, agentic workflows, RAG pipelines, deep-research tools, web search, and locally hosted models. The role requires strong Node.js, TypeScript, and Python skills, prior AI application development, and an adaptable, action-oriented approach.

Support the founder across operations, go-to-market, fundraising, finance, product experiments, and growth. Organize projects, coordinate pilots, manage customer and investor follow-up, prepare decks and financial models, and build AI-powered workflows using tools such as n8n, Clay, and ChatGPT. This remote-first, unpaid internship offers broad startup exposure, flexible hours, and potential future equity or paid employment.

Build a production-ready MVP for a stealth startup developing realtime AI chat and locally hosted model solutions. Responsibilities include working with pilot customers on proof-of-concepts, shaping the product’s technical vision, and developing agentic workflows, RAG pipelines, deep research and web search systems, and secure low-latency AI inference applications.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Leads AI infrastructure and data center deployments across EMEA, translating global strategy into regional execution. Oversees mobilization, workforce and partner capacity planning, staffing readiness, operational governance, customer engagement, risk escalation, quality, safety, and deployment handoffs. Requires extensive infrastructure or data center leadership experience, geographically dispersed team management, AI and cloud expertise, executive communication skills, and travel of up to 50%.

Lead business analysis and project management for Intelligent Automation and AI transformation initiatives. Responsibilities include requirements gathering, BPMN process modeling, project governance, executive workshops, stakeholder management, business cases, QA traceability, organizational change, and mentoring. The role advises C-level clients, coordinates automation developers and SMEs, supports AI risk and ethics considerations, and contributes to consulting practice growth, pre-sales, and business development.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Supports marketing operations by maintaining ABM technology, developing AI tools, conducting market research, managing SharePoint content, creating marketing collateral, and assisting with ABX enablement and project management. The intern collaborates with cross-functional marketing and sales teams while gaining hands-on experience with marketing technology, automation, reporting, and campaign processes.

Own the strategy, roadmap, governance, delivery, and adoption of an enterprise omnichannel design system across brands and geographies. Manage component libraries, design tokens, documentation, versioning, and integrations across Figma, Supernova, Adobe Creative Suite, engineering environments, and AI-enabled workflows. Partner with brand, creative, agency, technology, and market teams to establish content standards, accessibility, compliance guardrails, and measurable adoption. Lead innovation pilots and improve content production speed, consistency, reuse, and quality.

Develops World Vision International’s policy positions and external influence on children’s digital rights, AI governance, online safety, and digital participation. The role analyzes global regulatory developments, produces thought leadership and advocacy content, represents the organization in policy forums, leads coalition engagement, and advises internal teams and senior leaders. It requires collaboration across international teams and travel of up to 25%.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs and guides prototyping, implementation, architecture reviews, troubleshooting, governance, and production readiness. Requires deep hands-on experience with Azure data platforms, Power BI, enterprise security, Azure OpenAI, and retrieval-augmented generation patterns.

Lead the strategy and roadmap for Wrike’s AI platform and agent ecosystem, including MCP, Skills, and GraphQL. Manage the core MCP team, guide platform standards, enable internal teams to build agent-ready tools, and oversee plugin distribution across AI marketplaces such as OpenAI, Anthropic, and Microsoft. Use customer research, adoption data, feedback, and technical insights to prioritize improvements in reliability, governance, permissions, documentation, and developer experience.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.