Top Artificial Intelligence Jobs in Warsaw

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The role requires reviewing and evaluating AI-generated outputs and original content while applying local insights and maintaining quality standards. Strong analytical skills and attention to detail are necessary.

Manage deployment, reliability, and operations of the Voice AI product, ensuring smooth production and operational quality through improved infrastructure, automation, and observability standards.

The Commercial AI Solutions Analyst will collaborate with teams to implement AI initiatives and ensure data quality for business insights. Responsibilities include data validation, user acceptance testing, and promoting AI literacy within sales.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

The Senior AI Vertical Mini-Series Director will manage the production of mini drama series, directing and editing episodes while collaborating with AI Content Creators and tech teams.

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

The Principal Test Automation Engineer will design and implement testing strategies, apply AI tools for quality, enforce testing standards, and integrate testing into CI/CD processes.

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

As a Staff Backend Engineer, you will architect AI infrastructure for automation, enhancing customer support with resilient systems and cross-org technical leadership.

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 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.

Lead engineering excellence for Digital Assets and AI initiatives, ensuring architectural consistency, risk management, and continuous improvement in engineering practices.

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.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

The Solution Architect will document AI advancements, lead deployments, support customer adoption, and work on telecom applications using NVIDIA technology.

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

The AI Engineer at SINGU will design and implement AI features, ensuring their reliability and production readiness, while owning technical decisions for AI integration. Responsibilities include building AI pipelines, evaluating models, and maintaining LLM infrastructure.

The AI Adoption Manager will implement AI solutions, automate processes, and train teams to enhance efficiency and productivity across the organization.

The role involves designing AI interaction layers for chat/voice, building LLM-based flows, integrating APIs, and designing chatbot systems.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.