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

GFT Technologies Poland

Kraków

Hybrid

PLN 240,000 - 420,000

Full time

26 hours ago
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Benefits offered by this job

Medical package
Sport benefits
Lunch subsidy
Life insurance

Job summary

GFT Technologies Poland invites a seasoned software engineer to build production-grade AI and GenAI solutions using Python, integrating with Java-based enterprise systems in Kraków.

You will design LLM-based capabilities, RAG pipelines and agentic workflows, ensure secure coding practices, and contribute to CI/CD, testing, and governance in a large-scale transformation.

Qualifications

  • 4+ years of professional software engineering experience in Python and Java.
  • Hands-on experience building AI and GenAI solutions.
  • Knowledge of LLM capabilities, limitations and safe usage patterns.
  • 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.
  • 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.
  • Experience making pragmatic technical decisions in complex enterprise environments.
  • Strong understanding of secure software development and operational resilience.

Responsibilities

  • 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.
  • 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.

Skills

Python
Java
LLM concepts
RAG solutions
Agentic workflows
Prompt engineering
CI/CD pipelines
Unit/integration/contract testing
REST APIs
Cloud platforms (Azure)
Security and governance
Logging/Monitoring
SQL / PostgreSQL
Microservices

Tools

Spring Boot
Kubernetes
Service mesh
PostgreSQL
Oracle
Azure

Job description

You will build production-grade AI and GenAI solutions using Python, contributing to a large-scale enterprise technology transformation. You will work on LLM-based capabilities, RAG solutions, agentic workflows and integrations with an existing Java-based ecosystem while ensuring high standards of security, testing, governance and operational resilience.

  • 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
  • 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
  • 4+ years of professional software engineering experience in Python and Java
  • Hands-on experience building AI and GenAI solutions
  • Practical knowledge of LLM capabilities, limitations and safe usage patterns
  • 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
  • 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 testingExperience with prompt and model version management
  • Experience establishing AI-enabled SDLC practices
  • Experience measuring the quality and productivity of AI-assisted development
We offer
  • Hybrid work in one of our client's office (Kraków) 6-8 days a month
  • Working in a highly experienced and dedicated team
  • Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
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