Top Artificial Intelligence Jobs in Czechia

Design, build, and deploy AI-driven customer and marketing features using Google Cloud. Work with vector databases and BigQuery, optimize retrieval pipelines tied to CRM/CDP, and deliver production-ready services (Vertex AI, Cloud Run) while collaborating with product and marketing teams.

Build and deploy AI-driven customer and marketing features using Google Cloud. Work with vector databases, BigQuery data models, and retrieval pipelines integrated with CRM/CDP to improve segmentation, targeting, and campaign automation. Collaborate with product and marketing, write tested code, and experiment with new AI tools.

Provide technical support for ClickHouse and Langfuse customers across EMEA and global regions through cases, chat, Slack, community channels, and calls. Troubleshoot database, cloud infrastructure, AI application, tracing, and evaluation issues within SLA and on-call rotations. Develop documentation and educational content, assist with technical proofs of concept, mentor colleagues, escalate bugs, collaborate with Engineering and Product teams, and support customer implementations directly in codebases.

Build scalable, resilient, and secure backend microservices and APIs for production AI applications across AWS and Azure. Integrate databases, third-party services, legacy platforms, and AI systems; optimize performance for real-time workloads; implement authentication, authorization, RBAC, and rate limiting; and apply testing, CI/CD, Git, code review, and containerization best practices.

Build responsive, high-performance frontend applications for AI-driven enterprise solutions. Develop reusable components using modern frameworks, integrate REST APIs, WebSockets, and real-time streaming responses, optimize performance and state management, apply WCAG accessibility standards, write component-level tests, establish frontend engineering patterns, and collaborate with UX, backend, platform, and AI engineering teams.

Design and maintain automated testing strategies for AI-enabled applications across frontend, backend, APIs, data flows, and integrations. Build automation suites, validate LLM prompts and outputs, perform integration, regression, end-to-end, performance, and load testing, investigate defects, support root-cause analysis, and integrate quality standards and release gates with development and platform teams.

Own the architecture and production delivery of a real-time voice AI copilot. Lead streaming speech-to-text, LLM extraction, Chrome extension integration, AWS infrastructure, latency optimization, evaluation, observability, cost control, concurrency, data isolation, monitoring, and rollback. Lead the AI engineering pod, manage client stakeholders and scope, present evidence-based results, deliver production epics, and transfer knowledge to client and internal teams.

Lead end-to-end development of an AI mahjong companion, including the gameplay decision model, LLM explanation layer, valid-action integration, win detection, training pipeline, evaluation harness, and low-latency serving. Own architecture, AWS deployment, Langfuse observability, and the two-second response budget while leading a small AI pod and communicating technical decisions to the client’s CTO and engineering team.

Design, build, and deploy production-grade autonomous agents, multi-agent systems, and LLM-powered enterprise applications. Develop reusable orchestration patterns, integrate models with APIs, databases, tools, and enterprise systems, and implement structured outputs, memory, monitoring, tracing, evaluation, and recovery workflows. Deploy secure, scalable AI solutions primarily on AWS while applying MLOps and AIOps practices. Collaborate with engineering, data, cloud, and business teams.

Build and secure cloud infrastructure for production AI solutions across AWS and Azure. Responsibilities include designing CI/CD pipelines, implementing Infrastructure as Code, integrating security scanning and compliance controls, managing Docker and Kubernetes environments, configuring IAM and network security, monitoring and logging systems, improving reliability, and supporting penetration testing remediation.

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.

Create daily 60–90-second vertical AI micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include generating scenes with AI tools, editing footage in 9:16 format, maintaining character consistency, syncing music and sound effects, adding timed captions and overlays, and optimizing exports for social platforms. The role requires rapid experimentation, prompt engineering, knowledge of editing and composition, and experience with AI-generated video, static content, and audio.

Create daily 60–90-second vertical micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts using AI video, image, and audio tools. Generate scenes, edit footage in 9:16 format, maintain character consistency, synchronize music and sound effects, add captions and overlays, and optimize exports for social platforms. The role requires prompt engineering, visual composition, and editing skills, with traditional production and storytelling experience considered advantageous.

Develop and evaluate deep-learning models mapping HD-sEMG and tactile signals to robot force using human-demonstration data. Build scalable, reproducible training and evaluation pipelines, collaborate with RAI, hardware, and data teams, and deploy research models to production on physical robots.

Design, train, and evaluate vision-language-action control models using human-demonstration data; build scalable, reproducible training and evaluation pipelines; collaborate with RAI, hardware, and data teams; and deploy research results to production robots.

Train and evaluate large multimodal foundation models on human-demonstration data, build scalable reproducible training and evaluation pipelines, collaborate with RAI, hardware and data teams, and move research results into production on physical robots.

Build and scale reproducible training and evaluation pipelines for models trained on human-demonstration data. Scale distributed training across multi-node GPU clusters, collaborate with RAI, hardware, and data teams, and transition research models into production on physical robots.

Lead research on intent, force, and generalization for embodied AI. Train and evaluate models on human-demonstration data, build scalable training and evaluation pipelines, collaborate with hardware and data teams, and move research into production on physical robots.

Build scalable data infrastructure and training pipelines to feed human-demonstration data into RAI. Train and evaluate deep-learning models, collaborate with RAI, hardware, and data teams, and deploy research results to production robots.

Build systems around perception and force-readout models, develop perception and force-overlay tooling, integrate models into the live demo stack, and support data-collection systems for on-site humanoid robotics engineering.

Build and deploy the perception stack for humanoid robots: train and evaluate models on human-demonstration data, create scalable training/evaluation pipelines, collaborate across RAI/hardware/data teams, and move research results into production on physical robots.

Build and own end-to-end features for Chainguard's AI-enabled CI/CD and supply-chain security products. Design, implement, and iterate on integrations like hardened GitHub Actions, container tooling, and agentic AI features. Drive architectural decisions, collaborate with Product and front-end teams, and ship secure, production-ready developer tools.

Lead a multi-agent GenAI PoC for an FMCG client: own client relationship, design solution architecture (Discovery/Ideation/Validation/Orchestration), define retrieval and evaluation strategies, run benchmarking with SMEs, manage PoC/pilot delivery, and shape follow-on phases including conversational layers and scaled evaluation.

Lead customer-facing design and delivery of production-grade AI and agentic analytics on GoodData Cloud. Own discovery, prototyping, integration, and production handoff using semantic models, LLMs, embeddings, vector search, REST APIs, and local inference. Advise on architecture, governance, TCO, and multi-tenant secure designs while coordinating across product, consulting, sales, and support.

Designs enemies and NPC behaviors for a high-mobility multiplayer action game. Creates design specifications and technical documentation, collaborates with designers and engineers on scripting and behavior trees, analyzes player data and feedback to improve AI, coordinates dependencies with producers, and pitches new AI concepts to leadership.