Top Artificial Intelligence Jobs in Poland

As a Senior Full Stack Engineer, you will design and deploy AI-focused SaaS products, working with modern frameworks and cloud technologies. Responsibilities include feature ownership, collaboration with team members, and maintaining software quality.

As an AI Principal Product Manager, you will own product development, integrate AI models, mentor engineers, and improve workflows in a fast-paced environment.

This role involves owning the product development lifecycle for AI features, integrating AI models, mentoring engineers, and optimizing workflows.

The Senior Full Stack Engineer will design, build, and ship AI-driven SaaS products, integrating various AI models into video production workflows, while collaborating across teams and mentoring junior engineers.

The role involves managing the end-to-end product lifecycle for AI features, integrating models, improving workflows, and mentoring engineers.

Design, develop, and deploy AI-driven SaaS products, integrate AI models with full-stack features, collaborate with teams, mentor engineers, and enhance customer value quickly.

Responsible for lead generation and qualification in the Web3 and AI sector, collaborating with business development and marketing teams to identify prospects and track progress in a CRM system.

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

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The AI Engineer will develop and maintain multi-agent AI systems for performance media trading, focusing on data integration, quality assurance, and production reliability.

The AI Transformation and Enablement Manager drives AI adoption within the agency by automating workflows, improving processes, and selecting the right AI tools to enhance operations and outcomes.

Lead engineering excellence for Digital Assets and AI initiatives, ensuring architectural consistency, risk management, and continuous improvement in engineering practices.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.

The Product Specialist supports AI products at JLL by enhancing user experience, ensuring product quality, and promoting AI adoption within the organization. Responsibilities include building AI tools, creating user guides, translating feedback into product improvements, and maintaining a knowledge base.

The role involves crafting high-quality, narrative-driven video content using AI tools, managing end-to-end video production, and maintaining character consistency in AI-generated outputs.

The AI Data Engineer will build scalable data pipelines, adopt AI workflows, improve engineering efficiency, and collaborate with multiple teams while ensuring data quality.

The Junior Content & Marketing Specialist will create AI-assisted content, optimize SEO articles, and produce engaging videos. Responsibilities include content repurposing and ensuring quality standards.

The Product Specialist supports AI products, enhances user experience, fosters AI adoption, and manages product feedback for improvement.

This role focuses on enhancing brand visibility in AI-generated answers through content optimization, community engagement, and outreach efforts. Output measurement is key, with targets for content delivery and community participation.

The intern will support the development and deployment of data pipelines and AI solutions, collaborate with various teams, and contribute to monitoring capabilities.

Lead the development of AI agents for data analysts, focusing on automation, governance, and performance evaluation while collaborating with stakeholders.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.