AI Engineer (Java/ GCP)

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced AI Engineer with Java and GCP knowledge to join the AI Development team. Project information: Type of project: IT Services Office location: Kraków Work model: Hybrid – 1 day per week from the office Budget: 110-130 PLN net/ h - b2b Project length: long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Project scope: Design, build, and deploy scalable AI/GenAI solutions in production Integrate LLM-based features and AI tools (e.g., Copilot, Claude) into applications and workflows Develop and maintain Java-based microservices for AI-driven systems Build and maintain AI solutions in the GCP environment Design modern, reliable, and high-performance architectures Promote AI adoption to improve development processes and products Collaborate with cross-functional teams and communicate technical concepts clearly Ensure code quality, performance, and best engineering practices Work with stakeholders to understand requirements and deliver workable solutions Competence demands: 6+ YoE in software engineering, AI engineering, or related roles Experience working with AI tools such as Copilot, Claude, or similar solutions Very good knowledge of Java and experience working with microservices Experience in implementing GenAI or LLM-based solutions in production environments AI mindset – openness to using artificial intelligence in software development and process improvement Practical knowledge of Google Cloud Platform (GCP) Ability to design modern, scalable technology solutions. Good communication skills and the ability to work effectively in a team environment. Very good English skills Nice to have: Knowledge of integration patterns for AI-based systems Experience working in an Agile environment and in cross-functional teams We offer: Hybrid working model (1 day per week in the office/ 4 days remote) Collaboration with senior engineers and cross-functional AI teams Dynamic and innovation-driven engineering environment Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance