Lead Backend Consultant with AI/ML skills

GFT · Kraków, Poland · On site · yesterday

Sign up to apply
Your first one is free
Posted October 13, 2026 · Read from GFT
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

Type of contract: B2B contract

Salary range: 200-265 PLN/H

What will you do?

You will join a large-scale enterprise transformation initiative focused on modernizing and enhancing critical business applications. In this role, you will design, develop, integrate, and support enterprise-grade Java microservices while contributing to an AI-enabled software development lifecycle. You will work closely with architects, Tech Leads, QA, SRE, and platform teams to deliver secure, scalable, and resilient solutions in a complex, highly regulated environment.

Your tasks

Build, test, release, and support Java microservices and related components

Contribute to solution design and integration patterns aligned with target architecture and non-functional requirements

Identify and help resolve technical risks, dependencies, and delivery blockers

Follow and contribute to engineering standards, CI/CD practices, and quality controls

Deliver robust unit, integration, and contract testing

Participate in design reviews, code reviews, and security reviews

Use AI-assisted engineering tools while maintaining security, quality, and governance standards

Apply GenAI development practices including LLM usage, RAG concepts, and agent-based workflows

Build production-ready services with strong observability and operational readiness

Support release activities, integrations, and environment readiness

Collaborate with engineering, architecture, QA, platform, and operations teams

Contribute to continuous improvement initiatives and engineering excellence

Requirements

At least 8 years of professional software engineering experience

Strong hands-on experience with Python development in enterprise-scale environments

Good practical knowledge of Java and experience working with Java microservices based on Spring Boot

Experience working in enterprise-scale environments

Strong knowledge of Oracle or PostgreSQL databases

Experience with schema design, performance optimization, and transactional systems

Strong unit and integration testing experience using tools such as JUnit, Mockito, and Testcontainers

Experience with API and contract testing

Hands-on experience with Azure cloud services

Experience with CI/CD pipelines and quality gates

Knowledge of Jenkins or GitLab

Understanding of Sonar, SAST, DAST, and dependency scanning

Strong understanding of REST APIs, messaging, event-driven architectures, and integration patterns

Experience contributing to technical design decisions and architectural discussions

Leadership experience and strong collaboration skills

Practical exposure to GenAI tools and software engineering use cases

Understanding of LLM concepts, RAG patterns, AI governance, and engineering controls

Knowledge of secure coding practices and security-by-design principles

Openness to work hybrid from our client's office (Kraków) 8 days a month

Nice to have

Experience in financial services or other highly regulated industries

Knowledge of containers and Kubernetes

Exposure to service mesh technologies

Experience with observability platforms, logging, metrics, and tracing

Experience with performance engineering and resilience testing

Previous experience implementing AI-enabled SDLC practices

Hands-on experience building RAG solutions or integrating GenAI capabilities

Experience with prompt engineering, evaluation frameworks, or AI governance controls

Employer
GFT
Location
Kraków, Poland · On site