Top Artificial Intelligence Jobs in Poland

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

As a Summer Trainee, you will support the development of AI/ML tooling, collaborate with teams in a SCRUM environment, automate processes using Python, and document best practices.

As Staff AI GRC Lead, you will implement AI governance frameworks, support EU AI Act compliance, maintain risk registers, and conduct vendor assessments in a regulated environment.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

As a Senior DevOps Engineer, you'll design and maintain cloud infrastructure, automate processes, manage distributed systems, and improve performance in a hybrid work environment.

The AI Engineer will develop innovative AI features, fine-tune models, and collaborate with teams on tooling while focusing on R&D to enhance AI solutions.

The Staff AI GRC Lead will implement AI governance frameworks, support compliance for AI use cases, manage risk registers, and conduct vendor assessments.

Responsible for managing strategic partnerships with technology vendors, coordinating internal resources, and driving ecosystem initiatives for AI Factories. Oversees partner engagements and relationship building to support business goals and compliance requirements.

The Project Manager will optimize processes across Sales, Marketing, and Engineering, implement AI solutions, manage projects, and analyze performance metrics.

The Senior AI Engineer will embed AI capabilities across the software development lifecycle to enhance productivity and automate workflows, focusing on LLM orchestration and developer tooling. Responsibilities include designing AI-driven SDLC accelerators and collaborating with teams to scale AI use.

The AI Automation Developer will create and deploy AI systems and workflows, collaborate with teams, manage projects, and prototype AI solutions.

You will modernise legacy services using AI, implement automation in the development lifecycle, and demonstrate AI-first practices within a team of senior engineers.

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.