Top Artificial Intelligence Jobs in Poland

The Pre-Sales Engineer will provide technical expertise in AI and data platforms, support clients during pre-sales engagements, and help design AI solutions aligning with business goals.

Lead product strategy for frontend experiences, collaborate with engineering teams, set objectives, define roadmaps, and champion best practices in product development.

As a Senior Full-Stack Developer, you will build full-stack features, leverage AI-assisted tools, and own projects from start to finish.

As an AI-Agentic Product Owner, you will lead a high-velocity engineering team, integrate AI into workflows, and manage the product lifecycle, ensuring efficient delivery and quality improvements in Linux infrastructure. You will collaborate with stakeholders, guide automation strategies, and enhance operational processes.

As a Senior Software Engineer in the AI Platform team, you will design and build AI systems, mentor teams, and drive AI adoption across the organization.

Lead end-to-end generative AI content production and integration across creative, product, and engineering teams. Prototype, deploy, and optimize multi-format AI assets, build scalable design systems, drive adoption via training/workshops, ensure ethical AI use, and contribute strategic vision for AI-driven creative in games.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The Senior Agentic AI Engineer will design and deploy GenAI solutions, integrating intelligent agent services, leading AI research, and enhancing code quality to transform global logistics.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The Pedagogical AI Expert will strengthen AI product development at Sanoma Learning, shaping pedagogical strategy and translating it into product requirements, focusing on learning outcomes and risk mitigation, while collaborating across teams.

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.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

As an Account Executive, you'll manage the full sales cycle for SMB and mid-market firms, driving sales with tailor-made AI solutions, meeting ARR targets, and collaborating with various teams to refine messaging and onboarding processes.

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.

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.