Top Artificial Intelligence Jobs in Poland

The IT Business Analyst will translate AI aspirations into actionable use cases, manage stakeholder demands, and ensure regulatory compliance throughout project lifecycles.

Lead the integration and adoption of AI solutions at Galderma, focusing on strategy development, training, communications, and measuring value.

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

The Staff Product Manager, Applied AI will own product strategy for AI capabilities, prioritize high-value use cases, lead product delivery, and collaborate with engineering for production-ready AI solutions.

The Sr Staff Software Engineer, Applied AI designs, builds, and operates production-grade AI systems, transforming POCs into scalable services and leading engineering practices across teams.

The Staff Software Engineer will define the technical architecture and drive the development of scalable systems, focusing on AI integration. Responsibilities include mentoring, handling distributed systems, API design, and ensuring quality and observability in high-traffic environments.

The Staff Product Manager will define and deliver AI-enabled products, focusing on high-value use cases and collaborating with engineering, ensuring production readiness across teams.

The Sr Staff Software Engineer will design and operate production-grade AI systems, focusing on LLM and agent-based architectures, while ensuring engineering best practices and collaboration with teams.

The Sr Staff Software Engineer will design and implement production-grade AI systems, turning POCs into scalable services and leading technical practices in applied AI.

The Staff Product Manager for Applied AI will strategize and manage AI-enabled products, oversee their development from discovery to production, and ensure alignment with business goals.

Develop and deliver enterprise-scale AI and ML solutions, collaborating cross-functionally, optimizing performance, and ensuring usability in applications.

The Senior Generative AI Engineer will design and develop the Orion GenAI Platform, standardize technology stacks, and enhance innovation speed while collaborating across teams.

The Senior AI Data Engineer will lead the development of data infrastructure for AI projects, ensuring scalable data pipelines and governance, while collaborating with the AI team to optimize performance and facilitate AI training and operations.

The AI Product Owner translates business needs into agent-ready requirements, manages the product backlog, and ensures product delivery across various lifecycle stages, collaborating with engineering and architecture teams.

The Technical Content Specialist creates video tutorials and written materials for Coupler.io, managing the entire production process and ensuring high-quality content delivery.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Lead the development of an AI-powered product, designing architecture, creating conversational experiences, and shaping team standards while collaborating on product strategy.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

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

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.