Top Artificial Intelligence Jobs in Poland

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.

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.

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.

Own the architecture and production delivery of a real-time voice AI copilot. Lead streaming speech-to-text, LLM extraction, Chrome extension integration, AWS infrastructure, latency optimization, evaluation, observability, cost control, concurrency, data isolation, monitoring, and rollback. Lead the AI engineering pod, manage client stakeholders and scope, present evidence-based results, deliver production epics, and transfer knowledge to client and internal teams.

Leads the identification, development, testing, and scaling of AI and automation solutions across internal delivery processes and future customer-facing use cases. Builds automated test suites, scripts repetitive workflows, pilots generative AI and agentic tools, creates reusable automation assets, tracks measurable value, and enables teams through training and knowledge sharing. Collaborates with project managers, product owners, process owners, testing communities, and delivery teams to ensure maintainable, responsible, and broadly adopted solutions.

Designs end-to-end UX solutions for mission-critical public safety systems while modernizing UX workflows with AI. Responsibilities include rapid prototyping, human-centered design, usability testing, human-in-the-loop interaction design, evaluating emerging AI tools, defining product visions, and guiding adoption of effective methods across the global UX organization.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

Build, deploy, and productionize enterprise-grade AI solutions and agents using Snowflake AI Platform. Architect scalable ML pipelines, data models, ETL/ELT processes, and observability. Partner with customer data science and engineering teams to translate business needs into production systems, iterate rapidly, and ensure operational excellence and performance at scale.

Designs, reviews, and operates production-grade security automation and AI capabilities. Builds API integrations, agentic workflows, CI/CD pipelines, and orchestration systems supporting incident response, threat intelligence, detection engineering, and threat hunting. Establishes engineering, safety, reliability, auditability, and change-management standards while partnering with security teams. Evaluates AI and automation technologies, participates in on-call support, and enables scalable, maintainable security operations platforms.

The role involves implementing AI features, improving retrieval quality, collaborating with teams, and building backend APIs for various projects.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

Design and implement user-facing features from concept through implementation, combining UX design and front-end engineering. Build, iterate, and maintain UI/UX and business logic to drive engagement and conversion, collaborate with product/marketing/support, participate in code reviews, and leverage modern tools and deployment workflows.

Design and deliver AI agent ecosystems, collaborate with teams on business goals, and provide mentorship while staying current with AI advancements.

Execute structured prompt testing, prototype lightweight AI workflows, configure and validate custom GPTs, document prompt libraries and exemplars, provide coaching and office-hour support, track usage patterns, and contribute technical input to enable responsible AI adoption across the firm.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.