Top Artificial Intelligence Jobs in Poland

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

The AI Data Engineer will develop and maintain AI data pipelines, ensure system reliability, and innovate within AI technologies.

The AI Data Engineer will design and build AI data pipelines, ensuring reliability and quality for predictive intelligence in the Large Market Model.

The AI Data Engineer will develop and maintain data pipelines for the Large Market Model, focusing on feature engineering, system reliability, and innovation in AI solutions.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

The AI Data Engineer will design and implement workflows for automating data reporting, using AI to enhance the telemedicine platform's analytics.

The Product Manager - AI will define AI product direction, collaborate with engineering, and solve complex user problems in payroll and compliance workflows.

Seeking a Mid-Level Java Engineer to develop a high-availability MCP Server for a global insurance company, focusing on secure integration with AI and enterprise systems.

The Full Stack Developer will build web applications for AI initiatives in finance, collaborating on security, performance, and deployment standards while using modern frontend and backend technologies.

The Data and AI Product Manager will develop and execute a data product roadmap, prioritize AI use cases, gather requirements, ensure data governance, and manage stakeholders to drive data-driven decision-making in tourism.

Develop AI-driven applications focusing on full stack web development, utilizing AI frameworks for search and retrieval, enhanced user experiences, and ensuring security and compliance.

Lead a team in supervising AI risk management for the financial sector, develop frameworks, coordinate with agencies, drive research on AI trends, and manage project deliverables.

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

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 end-to-end delivery of AI, ML, Big Data, and software projects for international enterprise clients. Act as primary client contact, define scope, manage risks, budgets, and resources, mentor cross-functional teams, drive business-aligned technical roadmaps, support pre-sales, and contribute to account growth and recruitment.

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

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

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

The AI Engineering Tech Lead is responsible for designing and delivering AI agent systems, leading technical discussions, mentoring engineers, and maintaining development standards.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.