Top Artificial Intelligence Jobs in Poland

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Senior Backend Engineer will develop and enhance banking solutions, own the software lifecycle, and collaborate across teams to implement best practices.

Lead the design and deployment of AI/ML solutions, managing multiple initiatives and mentoring technical teams to ensure production-ready models.

The Sales Operations & AI Manager will oversee CRM systems and automations, optimize sales processes, and build AI workflows to enhance lead generation and data management.

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

Perform remote, part-time data tasks to improve AI Polish content: collect, evaluate, annotate data; perform pairwise comparisons, counting, object tagging and labeling across audio, video, images and collected data.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

Polish Dubbing AI Adaptors oversee dubbing projects, lead casting, drive script adaptation, and ensure quality assurance in productions.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

Design, build, and deploy AI agents and intelligent systems to automate workflows and improve operations. Own projects from discovery through production, prototype rapidly, integrate with existing systems, monitor performance, and collaborate with stakeholders to deliver measurable business impact.

The AI Go-to-Market Engineer will deploy and optimize AI systems across revenue operations to enhance productivity, pipeline generation, and minimize churn, reporting directly to the CEO.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

Lead the technical direction for web and mobile platforms, ensuring code quality, scalability, and security. Collaborate with teams to translate requirements into solutions while driving innovation in AI and cloud technologies.

As a Senior AI Engineer, you will develop and optimize AI-driven solutions, focusing on multi-agent systems, LLM-based applications, and AI automation. Your role includes building applications, integrating models into cloud solutions, and conducting research on new AI tools.

As a GCP Platform Engineer, you'll build and support data analytics platforms on GCP, manage IaC solutions, and collaborate with users on monitoring and alerting.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Design and implement cloud-native AI solutions, build relationships with clients, and optimize AI systems. Mentor others and lead architecture decisions.

The Full Stack AI Engineer will build AI products for legal workflows, handling backend and frontend development, APIs, and database management while ensuring high security and quality standards.