Top Artificial Intelligence Jobs in Poland

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.

The AI Product Owner translates business needs into agent-ready requirements, manages the product backlog, and ensures product delivery across various lifecycle stages, collaborating with engineering and architecture teams.

Design and develop AI agents using machine learning to automate complex tasks. Lead systems analysis, ensure high performance, and collaborate with teams.

The Gen AI Developer leads the design and development of AI agents, focusing on agent-based systems and machine learning integration, collaborating with cross-functional teams to create scalable solutions.

As a Senior SecOps Engineer, you will design and operate security controls across products, manage IAM, oversee data governance, and lead incident response and vulnerability management within cloud environments.

The Senior AI Engineer will develop an enterprise-grade Agentic Framework for automating production lifecycles in heavy industries, ensuring quality and scalability while leading from design to implementation.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

The role involves managing an AI-driven automation program, coordinating between engineering and third-party teams to optimize workflows and integrate AI solutions.

The Senior Python AI Software Engineer will design and build applications using Python, work on diverse projects, and collaborate with clients to translate requirements into innovative digital products.

Lead EMEA SEO & AI initiatives by implementing strategies and optimizing content for search and AI platforms while driving technical SEO excellence.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Design and maintain backend services, build React interfaces, architect AI-powered pipelines, and ensure performance of async data processing. Collaborate with teams and set best practices.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The Principal AI Engineer will define the AI technical vision, lead AI initiatives, guide engineering teams, and collaborate on scalable AI solutions.

The role involves architecting and scaling AI/ML systems, leading design and deployment, and mentoring engineers in a fast-paced environment focused on innovative solutions for the insurance industry.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

Lead a senior engineering team delivering a European automotive marketplace; oversee technical delivery, collaborate with clients, and shape engineering standards across the company.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

The AI Data Engineer will build and enhance data pipelines for AI initiatives, ensuring compliance, governance, and collaboration with cross-functional teams.

Lead end-to-end generative AI content production and integration across creative, product, and engineering teams. Prototype, deploy, and optimize multi-format AI assets, build scalable design systems, drive adoption via training/workshops, ensure ethical AI use, and contribute strategic vision for AI-driven creative in games.

Design and deliver enterprise AI and Generative AI solutions, build data pipelines, integrate AI outputs, and define AI delivery best practices.