Top Artificial Intelligence Jobs in Krakow

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Senior Product Manager will lead the strategy and execution of AI systems, manage product profitability, and drive product lifecycle from planning to implementation.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The Senior Software Engineer will optimize LLM management in Kubernetes, enhance performance, and build software for cost efficiency across cloud platforms.

The Director of AI Solutions will lead AI service offerings, driving revenue through solution strategy and delivery alignment, while mentoring teams and engaging clients.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions, collaborating with cross-functional teams to drive data-driven decision-making and automation.

The AI Solutions Architect will lead AI/ML consulting for clients, architect solutions, develop PoCs, and provide technical guidance while collaborating with internal teams.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

Lead the design, development, and deployment of software solutions focusing on conversational AI. Collaborate with teams, mentor juniors, and enhance existing systems.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.

Zowie seeks a Senior Backend Software Engineer to develop AI-driven solutions, enhancing their system architecture and integrating modern AI tools across multiple languages.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As an MLOps Engineer, you will architect and build scalable infrastructure for AI models, ensuring reliability and automation throughout the entire lifecycle of production AI systems.

As a Senior AI Engineer, you will deliver AI solutions using machine learning and generative AI technologies, mentor junior developers, and promote responsible AI practices.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

Lead multidisciplinary teams in developing traditional and AI-enabled search functions, fostering high performance, overseeing Agile practices, and driving strategic vision for infrastructure solutions.

Lead architecture and execution for data platforms and LLM products, focusing on scalable solutions and team collaboration to drive outcomes.

Design and implement AI conversational systems, collaborate with teams, optimize performance, and deploy Conversational AI models with a strong focus on real-time processing.

The Senior AI Engineer will design and develop agentic workflows, leading ML/NLP product development and collaborating with cross-functional teams to integrate intelligent agents into recruiting workflows.

The Staff ML Engineer will design and optimize ML platform components, enabling scalable and reliable AI-driven experiences at Zendesk, while collaborating with various engineering functions.

The AI/ML Engineer will design, develop, and deploy machine learning models, collaborating with teams to drive AI solutions and automation.

Lead the LLM team at EverAI, overseeing architecture and model deployment for AI companions, while ensuring user experience and safety in an explicit content environment.