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 clients 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
Required Experience:
Contract
Employment Type : Contract Experience: years Vacancy: 1 Monthly Salary Salary: 155 - 205
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