Top Artificial Intelligence Jobs in Krakow

Lead a team developing AI solutions for logistics, focusing on managing engineers, driving technical decisions, and improving delivery systems.

Drive technical excellence as a Lead Engineer in AI logistics, guiding architecture and mentoring a team while actively coding and collaborating with stakeholders.

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.

As a Supply Chain AI Engineer, you will design and deploy AI/ML models to optimize supply chain operations, improve data quality, and leverage Generative AI techniques, while collaborating with cross-functional teams.

SwissBorg seeks visionary thinkers and creative mavericks in fintech, blockchain, AI, and more. Share your profile to explore opportunities.

As an AI Product Engineer, you'll manage and improve internal tooling and workflows, collaborate with teams on client increments, and ensure efficient adoption of new AI capabilities.

As a Senior Engineer in AI Enablement, you'll modernise legacy services and build AI-powered infrastructure in a collaborative team environment.

The AI Engineer at SINGU will design and implement AI features, ensuring their reliability and production readiness, while owning technical decisions for AI integration. Responsibilities include building AI pipelines, evaluating models, and maintaining LLM infrastructure.

The AI Adoption Manager will implement AI solutions, automate processes, and train teams to enhance efficiency and productivity across the organization.

As an AI Engineer, you will design and deploy AI solutions, optimize prompt engineering, build RAG pipelines, and integrate AI models into cloud applications.

Design and deliver AI-driven solutions focused on Generative AI, engage in pre-sales activities, and guide implementation, ensuring technical soundness and business alignment.

The Senior AI Specialist will prototype AI solutions, develop predictive models, implement AI infrastructure, and train staff on AI tools. They will also automate workflows and analyze market trends.

Design and develop agentic AI systems, optimize AI SDLC pipelines, and collaborate with various stakeholders to define AI solutions.

The Data Engineer will design and maintain data pipelines and architectures, ensuring reliable data for decision-making through collaboration with data analysts and scientists.

The Machine Learning Engineer will design, build, and deploy scalable ML solutions, collaborating with teams to operationalize models and ensure their performance and reliability.

As a Summer Trainee, you will evaluate AI tools, support AI-assisted testing, create test plans, maintain test scripts, and collaborate with teams.

Lead the AI Platform engineering group, drive AI adoption, manage delivery processes, oversee agile teams, and foster a strong engineering culture.

Join our team to create and implement AI solutions, focusing on cloud applications and ETL processes while supporting entrepreneurs with the public cloud.

As an IS CX Solution Architect for AI, you will design, develop, and oversee AI solutions for consumer experience, ensuring alignment with enterprise standards and collaborating with various teams to deliver optimal outcomes.

Lead the development of our SaaS insurance platform, mentoring a team of engineers, integrating AI capabilities, and ensuring scalability and security while driving technical strategy and innovation.

The No-Code Systems Automation Engineer will design, build, and maintain automation workflows using GoHighLevel and either Zapier or n8n, ensuring reliability and performance through error handling and monitoring practices.

Design and develop AI applications, deploy machine learning models, integrate AI into business systems, and work with cross-functional teams to create AI-driven solutions.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead and govern enterprise application architecture at ABB, ensuring coherent evolution while supporting autonomous business units in application development.

Develop scalable Python microservices for AI systems, design developer-friendly APIs, optimize performance, and collaborate across teams in a fast-paced environment.