Top Artificial Intelligence Jobs in Poland

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.

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

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

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.

As a Lead/Staff Full Stack Engineer, you'll design and implement AI platforms, mentor engineers, and drive full-stack application development and deployment in a remote-first environment.

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.

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.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.

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.

The Senior AI Tech Lead will guide technical execution, enforce engineering standards, and ensure production readiness for AI solutions while collaborating with architects and vendors.

Design, build, and operate end-to-end production AI workflows integrated with internal systems. Implement orchestration, monitoring, and human-in-the-loop mechanisms; own model behaviour, evaluation, and continuous improvement; define and report decision-quality metrics; collaborate with Data Engineering on infrastructure, CI/CD, data pipelines, and governance; contribute standards and best practices to ensure reliable, auditable AI-driven outcomes.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

Responsible for lead generation and qualification in the Web3 and AI sector, collaborating with business development and marketing teams to identify prospects and track progress in a CRM system.

Develop and edit videos and digital content using AI tools, build landing pages, package courses, and maintain production operations and reporting.