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.

Your 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

Requirements

• 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