Expert Backend Consultant Python&Java with AI/ML skills

GFT Poland KRAKÓW 2026-09-10

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

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.

,[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] Requirements: AI, Security, Microservices, Java, Relational database, PostgreSQL, Testing, CD pipeline, Cloud platform, REST API, Spring Boot, Kubernetes, Service mesh, SDLC Additionally: Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Free snacks, Free beverages, Free parking, In-house trainings.