Expert Backend Consultant (Python&Java) with AI/ML skills
GFT Technologies SE Krakow, Lesser Poland Voivodeship, Poland · PLN 322K–PLN 426K/yr
IT Services and IT Consulting · 10,001+ employees
About the role
Design and develop production-grade AI and GenAI solutions using Python while ensuring secure integration with existing Java-based enterprise ecosystems. Collaborate with cross-functional teams to implement RAG pipelines, agentic workflows, and maintain high standards for CI/CD, security, and system reliability.
What they look for
Requirements
Requires 5+ years of professional software engineering experience with strong expertise in Python and hands-on experience delivering AI/GenAI solutions in production. Candidates must have commercial experience with Java, microservices, and cloud platforms, along with a strong understanding of AI governance and secure software development.
Full description
Type of contract: B2B contract
Salary range: 155-205 PLN/H
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
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