Lead Backend Consultant with AI/ML skills
Kraków Senior AI Engineering
At a glance
Senior AI Engineering role at GFT Technologies. Kraków.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationKraków
PostedSep 14, 2026 · 5w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build, test, release and maintain Java microservices and related components
- Shape service designs and integrations around the target architecture and its non-functional needs
- Review code, designs and security, while applying engineering standards and quality controls
- Use AI-assisted development, including LLMs, RAG and agent workflows, within security and governance controls
- Prepare services for production with observability, operational readiness and release support
What you bring
- At least eight years in professional software engineering, including enterprise-scale Python development
- Practical Java and Spring Boot microservices experience, plus strong knowledge of Oracle or PostgreSQL
- Experience with unit, integration, API and contract testing, and with Azure cloud services
- Knowledge of CI/CD pipelines, Jenkins or GitLab, quality gates and security scanning
- Understanding of REST, messaging, event-driven design, GenAI concepts and secure engineering practices
Who this fits
This senior role suits an experienced engineer who can contribute to technical design decisions and collaborate across engineering, architecture, QA, platform and operations teams. You need to be open to hybrid work from the client’s Kraków office eight days each month.
From the employer
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