Top Artificial Intelligence Jobs in Czechia

The Senior Product Manager for the AI & Data Platform will define the strategy for AI integration, manage product roadmaps, and lead cross-functional teams to build AI capabilities supporting Rapid7’s Command Platform.

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

Lead the vision, roadmap, and priorities for observability services in Nebius Cloud, managing backlogs and coordinating company-wide initiatives.

As a Legal Engineer, you will develop AI-powered workflows for legal professionals, enhancing productivity and problem-solving. Collaborate with clients and teams to design and optimize legal solutions.

The Manager Legal Engineering will design and implement AI-powered workflows for legal teams, engage clients, and manage the Legal Engineering team, while fostering innovation and collaboration.

The AI Solution Analyst documents and tracks AI initiatives, maintains a centralized overview of AI projects, facilitates workshops, and ensures alignment across business and technical teams.

The Generative AI Specialist will develop AI-driven applications, design prototypes, interact with clients, and optimize AI tools for better performance.

As a Staff AI Engineer, you will design and develop AI product features, focusing on LLMs and backend solutions while collaborating with leaders and teams to drive innovation.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Lead a small engineering team to design AI-driven test automation solutions, conduct code reviews, improve software development practices, and mentor less experienced developers.

Coordinate AI adoption initiatives, manage delivery of AI training, monitor adoption metrics, and establish best practices for using AI tools.

As a Senior AI Engineer, you'll shape the AI strategy, develop scalable machine learning models, ensure compliance, and mentor a growing AI team in a fintech startup.

As an AI Architect, you'll lead the architectural direction of AI capabilities, design systems, mentor engineers, and ensure robust implementation across tech stacks.

Looking for a Software Engineer focused on AI for cloud-native development and DevOps integration, offering flexibility and team ownership.

Lead a team of software engineers to build and evolve Filevine's AI Platform, focusing on coaching, project delivery, and cross-functional collaboration.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.