Lead Backend Engineer (AI/ML)

Location: Hybrid work in the client's office in Kraków, Poland, 6–8 days per month

Salary: 22,500–34,500 PLN gross per month

Company

hirify.global delivers technology services for large-scale enterprise transformation initiatives.

What you will do

• Design, develop, test, release, integrate, and support enterprise-grade Java microservices and related components.
• Contribute to solution design, target architecture, integration patterns, and non-functional requirements.
• Identify and resolve technical risks, dependencies, and delivery blockers with architecture, QA, SRE, platform, and operations teams.
• Implement unit, integration, contract, security, and quality controls across CI/CD workflows.
• Apply AI-assisted engineering, LLM, RAG, and agent-based development practices while maintaining security, quality, and governance standards.
• Build production-ready services with observability and operational readiness, and support releases, integrations, and environment readiness.

Requirements

• At least 8 years of professional software engineering experience, including enterprise-scale environments.
• Strong hands-on Python development experience and practical Java experience with Spring Boot microservices.
• Strong knowledge of Oracle or PostgreSQL, including schema design, performance optimization, and transactional systems.
• Strong unit and integration testing experience with tools such as JUnit, Mockito, and Testcontainers, plus API and contract testing.
• Hands-on Azure experience and experience with CI/CD pipelines, quality gates, and Jenkins or GitLab.
• Understanding of Sonar, SAST, DAST, dependency scanning, secure coding, and security-by-design principles.
• Strong understanding of REST APIs, messaging, event-driven architectures, and integration patterns.
• Experience contributing to technical design decisions and architectural discussions, with leadership and collaboration skills.
• Practical exposure to GenAI tools and software engineering use cases, including LLM concepts, RAG patterns, AI governance, and engineering controls.

Nice to have

• Financial services or other highly regulated industry experience.
• Knowledge of containers, Kubernetes, and service mesh technologies.
• Experience with observability platforms, logging, metrics, tracing, performance engineering, and resilience testing.
• Experience implementing AI-enabled SDLC practices or building RAG and GenAI integrations.
• Experience with prompt engineering, evaluation frameworks, or AI governance controls.

Culture & Benefits

• Hybrid work arrangement with regular attendance at the Kraków client office.
• Collaboration with an experienced and dedicated engineering team.
• Benefit package including medical care, sport benefits, lunch subsidy, and life insurance.
• Online training, certifications, and access to an e-learning platform.
• Social events and continuous engineering improvement initiatives.