Top Artificial Intelligence Jobs in Poland

The IT Business Analyst will translate AI aspirations into actionable use cases, manage stakeholder demands, and ensure regulatory compliance throughout project lifecycles.

Lead the integration and adoption of AI solutions at Galderma, focusing on strategy development, training, communications, and measuring value.

Design and implement full-stack applications and AI agents. Collaborate with teams to deliver customer-focused solutions while ensuring secure and reliable development practices.

Design and implement AI behaviors for NPCs in games, collaborating with design, programming, and animation teams to enhance gameplay experience.

The Game Designer will architect NPC behaviors, design AI archetypes, and implement systemic combat and stealth mechanics, ensuring smooth animation and player experience.

As a Senior AI Network & Compute Consultant at Dell, you will design and implement HPC/AI cluster architectures, oversee deployment, and provide expert consulting on infrastructure strategies.

The Senior Generative AI Engineer will design and develop the Orion GenAI Platform, standardize technology stacks, and enhance innovation speed while collaborating across teams.

The AI Engineer will integrate AI techniques into robotics, work with simulations, enhance AI models, and collaborate with various teams.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

Develop high-quality AI solutions, architect AI agents, design evaluation frameworks, collaborate with teams, and keep abreast of AI trends.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

Design and optimize AI-assisted workflows and prompts for various applications using LLMs, with a focus on German use cases.

The role involves reviewing and evaluating content based on guidelines, ensuring quality across annotations while working remotely in Polish.

Build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers to develop AI-powered tools.

The Senior AI Data Engineer will lead the development of data infrastructure for AI projects, ensuring scalable data pipelines and governance, while collaborating with the AI team to optimize performance and facilitate AI training and operations.

The AI Tech Lead is responsible for leading the technical execution of Agentic AI solutions, ensuring engineering standards and quality are met. This role includes translating architecture into build plans, enforcing coding standards, troubleshooting, and overseeing vendor contributions, while collaborating with various teams for successful project delivery.

The AI Native Engineer will design AI-assisted workflows, prototype quickly, document solutions, and work alongside experienced engineers to tackle complex problems.

The AI Augmented Engineer will own technical problems, utilize AI for various tasks, mentor peers, and ensure quality delivery in various domains like logistics and operations.

The Technical Content Specialist creates video tutorials and written materials for Coupler.io, managing the entire production process and ensuring high-quality content delivery.

The AI Product Manager will identify AI solutions, manage the product roadmap, collaborate with teams, implement GTM strategies, and drive product performance improvements.

The UI/UX Designer will collaborate with teams to create high-fidelity Figma designs and prototypes, focusing on financial interfaces and ensuring user-friendly solutions.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

Lead the development of AI-driven systems for auto repossession and remarketing, guiding architectural decisions and mentoring engineers, while ensuring high-quality and resilient software solutions.

The Software Developer Intern will design, implement, and support AI and software solutions while learning from experienced mentors in the Telecom field.