Top Artificial Intelligence Jobs in Warsaw

Design and build backend services, APIs and workflows for a finance super app. Support payments, wallet, savings, investing and insurance products; integrate partners (banks, payment gateways, insurers), ensure reliability, observability, security and operational readiness, and collaborate with product and mobile teams to ship customer-facing journeys.

Build end-to-end customer-facing and internal product features for BJAK's finance super app. Develop web flows, backend APIs, admin tools, dashboards and operational systems. Integrate APIs, handle data flows, improve production reliability, use analytics and feedback to iterate, and build tools to reduce manual work while collaborating with product, design, mobile and operations teams.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Build and scale core systems powering GenAI customer agents. Design reliable, high-performance distributed services, work across Java/Scala/Python stacks, use AI dev tools to accelerate engineering, ensure strong tests and observability, collaborate on architecture and product decisions, and deliver customer-focused solutions.

The Senior CyberSecurity AI Engineer will design, deploy, and support endpoint security solutions, leveraging AI/ML for threat detection and organizational collaboration.

Own and scale a large international Google Ads account end-to-end using AI (Claude) as a co-pilot. Responsibilities include keyword research, ad copy and localization, campaign structure, compliance and appeals, bid/CPA/ROAS management, monitoring and reporting, and launching growth across countries, products, and devices.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The AI Video Editor / Motion Designer creates high-quality video content using AI tools, enhancing conversion rates through effective storytelling, collaboration, and analytics-driven optimization.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

Lead end-to-end production of vertical short-drama series (1-2 series, 10-15 episodes, ~1min each + trailer). Create scripts, direct, edit, and finish episodes, collaborate with AI copilot and internal teams, and integrate AI generation tools for casting, character consistency, and trailers.

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.

Lead GenAI adoption by experimenting and embedding AI in engineering workflows, conducting workshops, and consulting across client teams to enhance productivity and developer experience.

As an AI Legal Specialist, you'll manage compliance tasks, focusing on data protection laws, contracts, and legal assessments for AI. You'll collaborate closely with the Ethics and Compliance Officer, ensuring compliance with global regulations related to AI and e-commerce.

Join the Compliance team to own AI and e-commerce legal workflows: GDPR and data protection documentation, AI systems inventory, risk assessments, product/feature reviews, contract and IP issue handling, TOS/privacy updates, and monitoring legal developments. Work with the Ethics & Compliance Officer and review uncensored AI content as needed.

Design, build, and maintain Claude-powered AI agents and modular multi-agent systems to automate bookkeeping and accounting workflows. Integrate with accounting platforms (Xero, QuickBooks, MYOB, etc.), implement human-in-the-loop processes, confidence scoring, audit trails, and continuous learning mechanisms, and collaborate with leadership to prototype and scale AI-driven accounting platform capabilities.

Create short-form vertical videos for TikTok, Instagram Reels, and YouTube Shorts, using AI tools and editing techniques to produce serial micro-dramas.

Build and deploy AI features, fine-tune and maintain language and multimodal models (HuggingFace), create AI automations and agents, develop tools/frameworks, guide dataset creation, run R&D experiments from POC to production, and monitor model performance.

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.

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.

Design, build, test and support batch and streaming data pipelines and curated datasets on a modern lakehouse/AI platform. Improve data modelling, quality, reconciliation, performance and operational reliability, partner with stakeholders, and provide technical leadership for delivery.

Design, build, test and support batch and streaming data pipelines and curated datasets on a Lakehouse/AI data platform. Implement data modelling, schema evolution, partitioning and data quality controls. Work with stakeholders to deliver production-ready, well-tested, high-performance data products and support operational monitoring and reconciliation.

Design, architect, and deploy end-to-end AI solutions (RAG pipelines, autonomous agents) to improve risk management. Translate regulatory and capital requirements into technical specifications and prompts, build infrastructure and testing strategies, and collaborate with regulators, senior risk managers, and engineering teams on distributed AI systems.