Senior Backend Engineer (Python&Java) with AI/ML skills

We are GFT Poland WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER . We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings. Why Choose GFT? A culture of top performance Deep tech IT engineering & consulting 1200 skilled & top-class experts 77% of the team are regular/senior Products that contribute to a sustainable world Competitive salary and benefits Ambitious projects, trainings and tools you need to flourish Google Cloud Partner of the Year - for going above and beyond for customers What will you do? You will build production-grade AI and GenAI solutions using Python, contributing to a large-scale enterprise technology transformation. You will work on LLM-based capabilities, RAG solutions, agentic workflows and integrations with an existing Java-based ecosystem while ensuring high standards of security, testing, governance and operational resilience. We offer Hybrid work in one of our client's office (Kraków) 6-8 days a month Working in a highly experienced and dedicated team Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.) Online training and certifications Access to e-learning platform Social events Daily tasks: - Design and develop production-grade AI and GenAI solutions in Python - Build and integrate LLM-based applications, RAG pipelines and agentic workflows - Develop secure APIs, microservices and integration components - Integrate Python-based solutions with existing Java services and enterprise platforms - Evaluate and validate AI-generated outputs using measurable quality criteria - Apply human-in-the-loop controls, traceability and auditability - Contribute to technical design and architecture decisions - Develop unit, integration, contract and automated evaluation tests - Follow secure coding standards and AI governance requirements - Contribute to CI/CD pipelines, quality gates and automated security checks - Implement logging, monitoring, metrics and tracing - Identify and resolve technical risks, dependencies and delivery blockers - Support releases, production readiness and incident response - Collaborate with architects, Tech Leads, QA, platform and operations teams - Contribute to engineering standards and continuous improvement 4+ years of professional software engineering experience in Python and Java Hands-on experience building AI and GenAI solutions Practical knowledge of LLM capabilities, limitations and safe usage patterns Experience designing and implementing RAG solutions Experience with agentic or tool-using AI workflows Experience with prompt engineering, evaluation and validation approaches Knowledge of AI governance, security, traceability and auditability Experience developing microservices and APIs Previous commercial experience with Java and Java-based enterprise systems Ability to understand, review and occasionally modify Java code Experience with relational databases such as PostgreSQL or Oracle Knowledge of schema design, transactional integrity and performance optimization Strong unit, integration and contract testing practices Experience with CI/CD pipelines and quality gates Hands-on experience with cloud platforms (Azure preferred) Knowledge of REST, messaging and event-driven integration patterns Experience making pragmatic technical decisions in complex enterprise environments Strong understanding of secure software development and operational resilience Nice to have Previous strong hands-on Java and Spring Boot development experience Experience delivering solutions in regulated financial services Experience with Kubernetes, containers and service mesh technologies Knowledge of modern observability tooling Experience with performance engineering and resilience testing Experience with prompt and model version management Experience establishing AI-enabled SDLC practices Experience measuring the quality and productivity of AI-assisted development Must have: Python, AI, Security, Microservices, Java, Relational database, PostgreSQL, Testing, CD pipeline, Cloud platform, REST API Nice to have: Spring Boot, Kubernetes, Service mesh, SDLC