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