Top Artificial Intelligence Jobs in Poland

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

The role involves modernizing the data ecosystem for AI/ML tools by defining data architecture, governance, quality standards, and strategies for secure data access, as well as overseeing training and mentoring teams on best practices.

The Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

This FP&A role involves financial analysis, reporting, project management, and optimizing performance through data-driven solutions, including AI initiatives.

Design and implement full-stack applications and AI agents while mentoring engineers and leading project ownership, focusing on rapid development and deployment of AI capabilities.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Lead design and deployment of AI applications, manage system architecture, implement generative AI, optimize models, and integrate AI into products at Fluxon.

The role involves designing and managing robust software architecture for Robotics AI and Data & Analytics, ensuring compliance and integration across systems while optimizing services.

Lead technical strategy for AI platform development at CaptivateIQ. Architect AI systems, set quality standards, and mentor engineers while collaborating with senior leadership.

Develop AI-powered features using full-stack technologies, collaborating with product teams, and contributing to architectural design and best practices.

Lead product analytics for subscription and web funnels: define KPIs, build/maintain dashboards and SQL data models, own event taxonomy and tracking, run funnel/cohort/retention analyses, mentor analysts, monitor anomalies, and partner with Product, Marketing, and Data teams to drive conversion, retention, and LTV.

As a Junior .NET Software Engineer, you'll learn software development concepts while working on AI technologies, supporting production issues, and deploying web applications. You'll receive mentorship as you debug and contribute to applications in a collaborative environment.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

The DevOps Engineer (AI) will optimize development environments, automate deployments, and collaborate on AI solutions, requiring strong software development and AWS skills.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Marketing Lead will drive lead generation, rebranding, and authority building in the data-driven investment market, working closely with the CEO to implement strategic initiatives.

Seeking an AI Engineer with Full Stack Development expertise to integrate Generative AI models into web applications, focusing on API development, backend systems, and cloud infrastructure.

As a Senior Platform Engineer, you will architect multi-cloud infrastructures for AI-driven applications, focusing on automation, CI/CD pipelines, and stakeholder collaboration.

In this role, you'll lead end-to-end AI solution delivery, working on diverse projects using full-stack engineering. You'll collaborate with pre-sales and product teams, balance speedy delivery with thorough documentation, and engage directly with clients to refine their needs and preferences.

Lead AI Product Engineer will focus on delivering AI solutions, mentoring engineers, managing project quality, and collaborating with teams to define client needs and deliver increments.