Senior Java Engineer - AI/GenAI

About the job
Job Title - Senior Java Engineer
Location - Poland
Years of experience - 8+ years of experience
What youll need for this role
Backend Engineering

8+ years software engineering with Java backend expertise

Experience modernising production systems at scale

Strong API design and microservices architecture knowledge

Understanding of strangler fig patterns, service decomposition, and legacy migration strategies

AI/LLM Implementation (Critical Differentiator)

Hands-on experience building with Model Context Protocol (MCP)

Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work

Experience implementing AI in CI/CD pipelines (code review, testing, security scanning)

Built agentic AI solutions or AI-powered automation tools

Understanding of prompt engineering, model selection, and LLM

capabilities/limitations

Proven AI Impact

Achieved measurable productivity improvements using AI in development

Implemented AI-assisted refactoring, test generation, or documentation at scale

Experience with AI code analysis and automated remediation

Track record of shipping production systems built with AI assistance

What you’ll do
Service Modernisation (50%)
Modernise Legacy Services Using AI

Use AI to analyse codebases, understand dependencies, and extract clean APIs

Work on high-impact legacy services that block divisional delivery speed

Implement strangler fig patterns and other proven migration approaches

Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities

Ship Results Quickly

Complete service modernisations in fast cycles with monthly milestones

Use AI to accelerate every phase: analysis, refactoring, testing, documentation

Hand off modernised services to Platform Services or divisions with clear ownership

Demonstrate measurable improvements: faster APIs, better performance, higher reliability

AI Implementation & Automation (50%)

Build AI-Powered Development Infrastructure

Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance

Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation

Build automation using Claude Code, GitHub Copilot, and LLM APIs

Develop reusable AI tooling that other engineers can adopt

Demonstrate AI-First Development

Use AI for all coding tasks: refactoring, test creation, documentation, debugging

Achieve measurable and significant productivity improvements through AI integration

Document patterns and share learnings through your work

Train teams during service handoffs on AI-enabled workflows youve built

Demonstrate when to use AI vs when human judgement is critical

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