Scale Faster, Reduce Costs, Meet Diversity Targets
Senior Java Engineer – AI/GenAI
Location
Poland
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior Java Engineer – AI/GenAI
RemoteStar
• 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 • 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 • 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 • 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
Job Requirements
- 8+ years of experience in 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
- 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.
Benefits
- Remote work options
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