Senior Java Engineer - AI/GenAI

About the job

Job Title - Senior Java Engineer
Location - Poland
Years of experience - 8+ years of experience

What you'll 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 you've built
Demonstrate when to use AI vs when human judgement is critical