Top Artificial Intelligence Jobs in Czechia

As a Product Owner, you will translate product strategy into actionable development items, ensuring quality delivery and alignment with customer needs. Responsibilities include managing the team backlog, collaborating with stakeholders, and ensuring continuous improvement.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Lead the design of complex managed service solutions for enterprise clients, develop IT strategies and roadmaps, and collaborate with sales teams. You'll synthesize technology trends with business objectives, manage governance, and innovate across various domains.

Lead the design and architecture of AI infrastructure solutions, support customer engagements, and conduct technical discussions. Develop lab infrastructure and manage proof-of-concept projects.

Lead the adoption of AI within R&D, inspire teams, integrate AI into workflows, and oversee pilot projects while building educational workshops.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

As a Senior AI Product Manager, you will drive the development of AI-native features, collaborating with teams, and engaging with customers to enhance the Clarity platform.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.

As a Senior TypeScript AI Engineer, you'll design and develop AI-based product features and infrastructure using LLMs, collaborating closely with the product and engineering teams.

The Applied AI Engineer will design and develop AI-driven features, ensuring scalability and quality while collaborating with product teams and AI experts.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

As a Senior Fullstack Engineer, you will design and build AI-powered web and mobile applications, collaborate with product teams, and optimize server-side logic within an Agile environment.

As a Kubernetes DevOps Engineer, you will design and implement integrations on the k0rdent-ai platform, collaborate with engineering teams, and optimize AI workloads in Kubernetes environments.

The Senior Automation & AI Specialist will design and implement AI automation workflows to optimize Go-to-Market processes, ensuring data integration across systems, engaging stakeholders, and enhancing operational efficiency.

As an AI/ML Engineer, you'll design scalable AI solutions, collaborate with teams, and manage deployment in production environments.

The AI Platform Engineer will enable AI capabilities, collaborate with teams to build and deploy features, and maintain AI pipelines in cloud environments.

Lead research in AI/ML-enhanced simulation tools for human experience, design algorithms, engage with industry partners, and publish findings.

The DevOps Engineer will ensure the reliability and performance of applications on Azure, using IaC principles and automation tools for deployment workflows and system monitoring.

The AI LLM Engineer will design, develop, and optimize AI solutions using machine learning and integration techniques, collaborating with a team to enhance user experience.

The Senior Power Platform Engineer will develop and implement AI solutions and low code solutions using Microsoft Azure AI and the Power Platform to enhance productivity and automate workflows.

The role involves collaborating with teams to enable AI features, building and deploying AI pipelines, and working with cloud environments.

The AI Engineer will work on software for machine learning, collaborating with data scientists, and implementing best practices in software development. Responsibilities include writing modeling packages and optimization processes for healthcare applications.