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

GFT Poland is a company with 1200 skilled IT experts, known for deep tech IT engineering & consulting. They focus on delivering high-value innovative solutions and have a culture of top performance. They are a Google Cloud Partner of the Year and work on ambitious projects contributing to a sustainable world.

• 4+ years of professional software engineering experience in Python and Java
• Hands-on experience building AI and Generative AI solutions
• Practical knowledge of LLM capabilities, limitations, and safe usage patterns
• Experience designing and implementing Retrieval-Augmented Generation (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 (preferably Azure)
• 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 Software Development Life Cycle (SDLC) practices
• Experience measuring the quality and productivity of AI-assisted development

• Design and develop production-grade AI and Generative AI 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