Expert Backend Consultant (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 design and develop production-grade AI and GenAI solutions built primarily in Python, contributing to a large-scale enterprise technology transformation. You will work on LLM-based capabilities, RAG solutions and agentic workflows, ensuring secure integration with an existing Java-based ecosystem. You will contribute to architecture discussions and help deliver scalable, secure and reliable AI solutions that meet enterprise standards. 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 practices - Contribute to solution design and architecture discussions - 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 technical risks, dependencies and delivery blockers and propose mitigation approaches - Support releases, production readiness and incident resolution - Collaborate with architects, Tech Leads, QA, platform and operations teams - Contribute to engineering standards and continuous improvement initiatives 5+ years of professional software engineering experience with strong expertise in Python Hands-on experience building and delivering AI and GenAI solutions in production environments Practical knowledge of LLM capabilities, limitations and safe usage patterns Strong 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 Ability to independently design and deliver complex technical solutions in enterprise environments Strong understanding of secure software development and operational resilience Experience participating in architecture reviews, design reviews and code reviews Openness to work hybrid from our client's office (Kraków) 6-8 days a month Nice to have 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: AI, Security, Microservices, Java, Relational database, PostgreSQL, Testing, CD pipeline, Cloud platform, REST API Nice to have: Spring Boot, Kubernetes, Service mesh, SDLC