Top Artificial Intelligence Jobs in Czechia

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Design, develop, test, and maintain enterprise integration and data engineering solutions using SAP Integration Suite, Databricks, APIs, databases, and cloud technologies. Build data pipelines, apply AI-enabled data quality and validation capabilities, and integrate applications across complex enterprise environments. Collaborate with AI experts and project teams to translate requirements into scalable solutions while developing expertise in SAP integration and modern data technologies.

Own the strategy, roadmap, quality, and end-to-end customer experience for Productboard Spark’s AI Insights and agentic product capabilities. This includes designing agent behavior, data and retrieval pipelines, evaluation frameworks, interactive outputs, and product metrics. The role requires hands-on prototyping, analysis of model traces and evals, customer research, cross-functional leadership, and mentoring PMs while partnering closely with the founders.

Build and deploy Snowflake data pipelines using Python, Snowpark, and Apache NiFi. Curate governed data assets with metadata, lineage, and ownership definitions; transform raw data using SQL and dimensional modeling; optimize queries and warehouse performance; and collaborate with data engineers, data scientists, and analysts to support analytics and AI workloads.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Develops new business and expands existing accounts across the Czech and Slovak markets. Manages the full B2B sales cycle, builds client relationships, identifies Data, Analytics, and AI opportunities, coordinates presales efforts with consultants and technology specialists, and owns pipeline, revenue targets, forecasts, partnerships, and market growth.

Manage global data privacy compliance and AI governance, including GDPR documentation, contract support, DPIAs, AI risk classification, regulatory monitoring, responsible AI policies, internal audits, and cross-market privacy advice. Collaborate with legal, product, and technology teams, prepare compliance materials, and promote responsible data protection practices across global operations.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Intern will evaluate and implement AI technologies that improve automotive embedded software development. Responsibilities include analyzing workflows, developing AI-based code review and compliance solutions, generating architecture documentation, integrating tools, validating a proof of concept on project data, and presenting adoption recommendations. The role involves AUTOSAR, C-based software, Simulink, CI/CD, and collaboration with an embedded software team.

Supports Medtronic’s EurAsia Commercial Analytics & Insights team by translating commercial needs into scalable analytics, AI-enabled products, and decision-support solutions. Responsibilities include stakeholder partnership, data integration and quality management using SQL, AI agent and insight product development, agile delivery with Jira, process automation, and measuring business impact. The role requires strong commercial analytics experience, cloud data platform knowledge, AI and LLM familiarity, and the ability to communicate effectively with technical and business partners.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Designs and maintains scalable data pipelines and architectures supporting analytics, machine learning, Generative AI, LLM, RAG, and semantic search applications. Responsibilities include modernizing and migrating legacy data platforms, developing AI-ready datasets, implementing data governance and quality controls, supporting feature stores and model-serving pipelines, and building reusable data products. The role also drives automation, security, compliance, observability, and collaboration across engineering, data science, product, architecture, and business teams.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Build and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and own production agentic AI runtime components, including context construction, retrieval and tool orchestration, ranking, scoring, guardrails, multilingual quality, latency and cost optimization, and evaluation systems. Diagnose production failures through traces and improve agent reliability for customer-facing commerce applications.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Translate legal workflows into AI and ML requirements, evaluate model outputs, create legal AI quality standards, develop rubrics and annotation guidelines, identify hallucinations and edge cases, and provide structured feedback to engineering and product teams. Collaborate with ML engineers, product managers, data scientists, and annotation teams to improve prompts, retrieval strategies, agent workflows, and legal AI reliability.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.