Top Artificial Intelligence Jobs in Krakow

The Lead AI & Data Engineer will develop and enhance data engineering and analytics capabilities, focusing on scalable data ingestion, transformation, and integration with GenAI tools, while ensuring data quality and collaborating with cross-functional teams.

This AI Summer Internship in Kraków offers students hands-on experience in AI, collaborating with professionals on innovative projects, requiring knowledge of Python and ML fundamentals.

As a QA Automation Intern, you will assist in building an AI-based QA platform, analyze test failures, optimize testing processes, and collaborate with developers and engineers.

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.

Assist air passengers with claims by communicating through email, chat, and social media, and utilizing legal knowledge for guidance.

Assist air passengers with their claims through timely communication across various channels. Provide legal advice with training support and follow operational procedures.

Assist customers with claims related to delayed or cancelled flights, providing support through various communication channels and utilizing legal knowledge to offer assistance.

Assist customers with claims and queries via various channels, utilizing legal knowledge and following procedures in a shift-based environment.

Lead a team in developing cloud-native applications and driving AI integration. Oversee software development, manage budgets, and stay updated on technology trends.

This AI Summer Internship is for students in technical fields to gain hands-on experience in AI, collaborating on projects and learning under mentorship.

As a Senior AI Applied Software Engineer, you will design systems utilizing advanced ML models and LLMs for campaign management, offer personalization, and voice assistants for banking, impacting a global scale of users.

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

Design and implement robotics software and AI/ML models for embedded systems, focusing on performance optimization and system integration. Lead architectural decisions and ensure production readiness of robotics and edge AI solutions.

This internship involves hands-on work with AI and data technologies, requiring knowledge in Python, SQL, and cloud services. Interns will engage in tasks related to software engineering practices and contribute to meaningful projects while developing skills in a collaborative 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.

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

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

The SEO & AI Search Manager will develop and execute comprehensive SEO strategies to boost organic growth and visibility across AI-powered search platforms, collaborating closely with multiple teams and driving measurable results in traffic and revenue.

Work with database systems, build data pipelines and data warehousing, analyze and visualize data, report findings to stakeholders, collaborate with team members, and help develop LLM and agentic AI solutions while learning cloud and Big Data tools.

Design, build, and deploy integrations and AI-enabled workflows for business efficiency. Own MCP Gateway, drive automation, and collaborate cross-functionally.

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 AI Content Expert II creates and annotates complex training data for LLMs, ensuring quality and producing text across various styles. Responsibilities include auditing work, making independent decisions, and collaborating with scientists and engineers for data quality improvement.

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