Top Artificial Intelligence Jobs in Poland

Own AI Investing product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial services, use research and performance data to guide decisions, manage trade-offs, and drive execution with high ownership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams. Simplify complex financial workflows, launch features, monitor performance, analyze feedback and data, and drive continuous improvements while balancing speed, usability, business impact, compliance, and operational complexity.

Own product areas within KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own product areas within AI Stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, use research and feedback to iterate, and balance speed, user experience, business impact, compliance, and operational complexity. The role is remote but requires candidates to be based in Poland.

Own product areas for an AI neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; analyze feedback and performance; and continuously iterate while balancing speed, usability, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use data, research, feedback, experiments, and production insights to launch, measure, and continuously improve products while balancing speed, user experience, business impact, compliance, and operational complexity.

Own financial product areas across investing and other fintech services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, customer feedback, and production issues.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, feedback, experiments, and production insights to continuously improve products.

Responsible for developing and supporting kernels for linear algebra operations on AI hardware, optimizing performance and debugging issues.

Own product areas across AI investing and financial services, defining user problems, roadmaps, metrics, launch plans, and customer journeys. Partner with engineering, design, data, operations, compliance, and business teams to ship features quickly, monitor performance, and iterate using research, feedback, experiments, and production insights. Balance speed, user experience, business impact, compliance, and operational complexity while driving execution with high ownership.

Own financial product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product strategy, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, launch features quickly, and continuously improve products while balancing user experience, business impact, compliance, and operational complexity.

Build and improve an AI-powered accounting platform across frontend and backend. Responsibilities include developing React and Next.js experiences, Node.js services, REST APIs, PostgreSQL data models, integrations, and reliable AI workflows using LLM APIs, tool calling, streaming, and agents. The role owns features end to end, improves performance and reliability, makes architectural decisions, collaborates with product and domain experts, and uses AI development tools to deliver and maintain production software.

Build and own Aura’s AI Intelligence Platform, designing scalable distributed systems that unify sensitive data and enable secure, privacy-preserving AI agents. Lead initiatives from architecture through production, make cross-stack technology decisions, establish security and operational best practices, and mentor engineers. The role focuses on Python, TypeScript, AWS, data platforms, AI-powered systems, and systems handling sensitive information.

Own product areas for BJAK’s AI Stockbroking and financial services offerings. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; use research, feedback, experiments, and performance data to guide decisions; launch features, monitor outcomes, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex products, launch features, monitor performance, and iterate based on data, feedback, and production issues.

Own product areas across AI investing and other financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, roadmaps, metrics, scope, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor results; and iterate using data, feedback, research, and production insights.

Own product areas within AI stockbroking and broader financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launches. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial workflows, launch features, analyze performance, and drive continuous improvements while balancing user experience, business impact, compliance, and operational complexity.

Own AI investing and other financial product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans while collaborating with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, manage trade-offs, and drive continuous product improvement with high ownership.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product strategy, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship features, simplify complex financial journeys, monitor performance, and iterate using data, research, feedback, and production insights.

Design, build, and operate an enterprise AI developer platform enabling LLM routing, agentic workflows, RAG pipelines, observability, secure multi-tenant APIs, and GitOps deployments. Lead platform initiatives, mentor engineers, and provide self-service developer tools and prompt/versioning systems.

Develop and optimize GPU- and CPU-accelerated numerical software libraries for AI, analytics, image processing, computer vision, and scientific simulation workflows. Responsibilities include designing scalable algorithms, performance tuning, benchmarking across architectures, collaborating on feature requirements and technical roadmaps, providing technical leadership, and improving library usability and performance.

Build scalable, resilient, and secure backend microservices and APIs for production AI applications across AWS and Azure. Integrate databases, third-party services, legacy platforms, and AI systems; optimize performance for real-time workloads; implement authentication, authorization, RBAC, and rate limiting; and apply testing, CI/CD, Git, code review, and containerization best practices.