Top Artificial Intelligence Jobs in Warsaw

Support internal audit engagements across global business lines by executing audit procedures, risk evaluation, and summarizing findings under supervision.

As an AI Engineering Lead, you will drive AI operational strategies, manage teams, and ensure the integration of AI technologies into processes.

As an AI Operations Engineer, you will design and maintain AI pipelines, ensure deployment of AI models, and mentor junior engineers.

As a Senior AI Operations Engineer, you will design, implement, and optimize AI pipelines, ensuring smooth model deployment and team mentorship.

As an AI Consultant, you will advise banking clients on AI/ML solutions, support model design, ensure compliance, and assess data quality.

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

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

The Analyst will govern and monitor vendor assessment for Responsible AI, ensuring compliance and risk management while engaging stakeholders and designing governance processes.

The Staff ML Scientist will lead applied AI research, develop machine learning models, collaborate with teams, and drive innovation at Visa.

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

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

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.

Design and implement full-stack applications and AI agents, build developer tooling, ensure secure practices, and deliver customer-focused solutions.

Design and implement full-stack applications and AI agents, build developer tooling, apply secure SDLC practices, and mentor engineers within a remote-first team.

The Product Manager for the Internal AI Copilot will develop an AI-driven tool to enhance sales processes, integrating data from various sources and optimizing user experience for actionable insights.

As a Major & Strategic Account Executive, you'll drive sales of Libra's AI legal solutions, engaging with legal professionals to enhance productivity and mitigate risk. Manage full sales cycle, develop client relationships, and contribute to strategic account planning.

The Legal Engineer will design AI-powered workflows to enhance legal and compliance productivity, collaborating with clients and internal teams while providing insights for product improvements.

Design and implement full-stack applications and AI agents. Collaborate with teams to deliver customer-focused solutions while ensuring secure and reliable development practices.

Design and implement full-stack applications and AI agents while mentoring engineers and leading project ownership, focusing on rapid development and deployment of AI capabilities.

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.

The AI Engineer will integrate Generative AI models into web applications, focusing on both front-end and back-end development, API design, and cloud infrastructure.

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.

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