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Salary
$80k – $104k per year
Location
Hybrid (Kraków, Poland)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
Profile match
GFT Technologies is a Stuttgart company founded in 1987 that builds software for banks, insurers and industrial firms. Its engineers work on core banking modernisation, cloud migration and artificial intelligence projects for financial institutions worldwide. The company operates delivery centres across Europe, Latin America and Asia.

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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