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September 1, 2026

AI Engineer (Java/ GCP)

Senior • On-site

228,800 - 270,400 PLN/yr

Krakow, MA, Poland

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/hour, B2B
  • Project length: Long-term
  • Only candidates with citizenship in the European Union and residence in Poland
  • Start date: ASAP, depending on the candidate’s availability

Project Scope

  • Design, build, and deploy scalable AI/GenAI solutions in production.
  • Integrate LLM-based features and AI tools, such as Copilot and 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, 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 engineering best practices.
  • Work with stakeholders to understand requirements and deliver workable solutions.

Competence Demands

  • 6+ years of experience 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 implementing GenAI or LLM-based solutions in production environments.
  • AI mindset and 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 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.

Benefits

  • Hybrid working model: 1 day per week in the office and 4 days remote.
  • Collaboration with senior engineers and cross-functional AI teams.
  • Dynamic, innovation-driven engineering environment.
  • Full-time B2B agreement.
  • Private medical care with dental care, covering 70% of costs.
  • Multisport card, also for an accompanying person.
  • Life insurance.

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