Top Artificial Intelligence Jobs in Czechia

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.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Fine-tune and post-train open-weight LLMs using methods such as SFT, LoRA, QLoRA, DPO, and GRPO. Build training data and evaluations, diagnose model failures, improve personalization and multilingual behavior, accelerate reproducible training workflows, and deploy models to production. The role involves using real user behavior to guide iterations across a large-scale AI companionship platform, with collaboration across AI, product, web, DevOps, and leadership teams.

Lead the design of scalable, secure AI, generative AI, and cloud architectures. Provide technical leadership, make strategic architecture decisions, collaborate with architects, engineers, product owners, and business stakeholders, and ensure solutions align with enterprise standards. Mentor AI engineers and support the organization’s AI architecture capabilities. The role requires expertise in Azure, LLM applications, RAG, AI agents, scalable applications, microservices, Kubernetes, and Databricks.

Oversee AI customer experience quality by auditing conversations, investigating escalations, monitoring performance metrics, maintaining workflows and knowledge bases, and converting feedback into Jira tasks. Support marketplace customer service, assist frontline agents, coordinate process improvements, and help train new team members. Use tools such as Claude and ChatGPT to automate reporting and quality assurance workflows.

Lead technical delivery of an AI-assisted operations platform from discovery through implementation and evaluation. Establish technical baselines, validate integrations, design maintainable rules and AI workflows, guide engineers, review code, implement testing and observability, and ensure traceable human-approved decisions. The role requires hands-on architecture, API integration, evaluation, CI, production readiness, and clear communication with business and engineering stakeholders. Travel to an in-person working session in Milan is included.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Build production-ready automations using Power Automate, Copilot Studio, agent flows, and AI agents. Migrate legacy Automation Anywhere solutions, integrate enterprise systems and APIs, and implement testing, monitoring, security, governance, logging, and error handling. Partner with business teams to identify automation opportunities and coach RPA developers on Power Platform, agent design, reusable patterns, and safe production practices.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Optimize LLM inference performance on modern GPUs by analyzing GPU architecture, memory access, kernels, and bottlenecks. Develop, debug, and reverse-engineer CUDA kernels; improve matrix multiplication, attention, latency, throughput, and utilization. Work with frameworks such as vLLM, SGLang, TensorRT-LLM, Triton, and FlashAttention while conducting performance benchmarks and low-level investigations.

Senior software engineer responsible for designing, building, deploying, and supporting enterprise platforms, backend services, web applications, APIs, integrations, data flows, and cloud solutions. The role includes end-to-end ownership, architecture decisions, troubleshooting, testing, security, scalability, operational readiness, and collaboration with technical and business stakeholders. The engineer will use and validate AI-assisted development tools, particularly GitHub Copilot, while mentoring team members and communicating technical trade-offs.

Own the enterprise AI stack for Productboard Spark, including permissions, audit, usage limits, model routing, BYOM, automation, and governance. Define strategy and roadmap, translate enterprise customer needs into scalable product capabilities, lead cross-functional initiatives, establish success metrics, prototype with AI coding tools, and support enterprise rollouts. The role requires deep experience shipping agentic AI products, enterprise B2B SaaS, governance controls, and large-scale customer deployments.

Designs agentic AI architectures, roadmaps, implementation requirements, memory systems, multi-agent platforms, monitoring and evaluation frameworks. Advises financial-services executives, translates business and technical requirements, establishes AI governance and security guardrails, and creates reusable architecture patterns and methodologies. The role collaborates with business, IT, compliance, and risk teams while overseeing cloud-based AI solution delivery.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Lead and scale a team of AI-driven creative designers producing static performance-marketing ads and photorealistic AI visuals. Own creative direction, production planning, quality control, testing, performance analysis, prompt libraries, and AI tooling research. Collaborate with marketers, media buyers, copywriters, producers, video editors, and an AI pipeline engineer to create scalable workflows and high-performing creatives. Remain hands-on with design and AI tools while mentoring the team and managing deadlines.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Build LLM-powered memory and agent capabilities for an AI intelligence platform. Responsibilities include developing multi-agent pipelines, conversation summarization, durable fact and preference extraction, cross-session retrieval, context assembly, and observability. The role involves production Python development, agent orchestration, prompt engineering, RAG, semantic search, embeddings, and collaboration on evaluation and quality improvement.

Leads the Rheumatology business across the Czech Republic and Slovakia, owning strategy, brand planning, financial performance, commercial execution, and organizational growth. The role manages cross-functional teams, develops sales and marketing capabilities, oversees KPIs and incentives, identifies business opportunities, translates market intelligence into decisions, and ensures compliance. It requires pharmaceutical or biotech commercial leadership, strategic planning, financial acumen, stakeholder management, and fluency in the local language and English.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.