Top Artificial Intelligence Jobs in Krakow

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Lead cross-functional teams in R&D projects related to HVDC technology, from ideation to implementation, ensuring alignment with strategic goals and deliverables.

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

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

Develop and deploy machine learning models for supply chain optimization, collaborate with teams, and improve model performance through data analysis.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

Lead global IBP transformation by driving innovation and planning excellence through advanced technologies and cross-functional collaboration, while deploying standards globally.

Lead AI initiatives, leveraging existing models, conducting data modeling, collaborating with teams, and ensuring timely project completion.

The AI Engineer will design, develop, and deploy AI solutions, establish MLOps practices, collaborate with teams, and ensure responsible AI practices.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

Welo Data seeks individuals fluent in Ukrainian for remote roles in annotation, evaluation, and data collection to enhance AI models.

Join Welo Data to work on language data projects, focusing on annotation, evaluation, and prompt creation. Ideal for those fluent in Polish, offering flexible remote opportunities.

The AI Architect designs and develops AI solutions, ensuring scalability and compliance while implementing CI/CD pipelines and managing AIOps practices within an agile, international team.

The Staff AI Engineer will define technical vision for ML operations, lead teams, design architectures, manage programs, establish standards, and mentor engineers.

Develop generative AI products, collaborate with teams, build machine-learning models and algorithms, and contribute to the model deployment lifecycle.

As a Senior DevOps Engineer, you will automate cloud services, ensure application infrastructure readiness, manage deployment pipelines, and collaborate within Scrum teams. Strong skills in Azure technologies and security practices are essential.

The AI Software Engineer will develop intelligent applications using AWS, design LLM-driven systems, and implement content management pipelines within .NET frameworks. Responsibilities include AI integration, API development, and ensuring operational resilience for global organizations.

This role involves designing, developing, and maintaining AI/ML software solutions, proposing new optimization approaches, and collaborating with global teams to solve real-world challenges.

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.