GFT Technologies is hiring an Expert Fullstack Consultant in Kraków to build and modernize React + Java applications for large-scale investment banking platforms in a regulated environment, using generative AI tools like GitHub Copilot daily. Hybrid role (3 days/week at the client's office), B2B contract paying 155–205 PLN/hour.
You will join a team delivering large-scale financial services platforms supporting investment banking operations. The role focuses on digital transformation, process automation, application modernization, and AI-driven software development within a highly regulated environment. You will work across both frontend and backend components while leveraging modern AI tools and technologies to improve development efficiency and business outcomes.
Your tasks
Design and develop full stack applications using React JS and Java
Build and enhance solutions supporting investment banking operations
Leverage GitHub Copilot and Microsoft 365 Copilot in daily development activities
Apply Generative AI capabilities to improve software delivery and business processes
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Implement and maintain scalable, high-quality, and secure software solutions
Participate in code reviews and promote engineering best practices
Contribute to application modernization and automation initiatives
Requirements
7+ years of experience as a Full Stack Developer
Strong experience with React JS and Java
Experience working with GitHub CLI and Microsoft 365 Copilot
Sound understanding of Generative AI concepts and frontier models
Strong communication skills
Strong domain knowledge in collateral and margin management
Experience with prompt engineering
Understanding of structured context in codebases, including AGENTS.md and skills frameworks
Openness to work hybrid from our client's office (Kraków) 3 days a week
Nice to have
Knowledge of databases, preferably Sybase
Understanding of AI agents and ability to build them when required
Understanding of different AI model types and concepts such as online models, offline models, open-weight models, RAG, and context management