Senior Java Engineer – AI/GenAI

🕒 May 26

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RemoteStar

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤝 B2B

🎯 Recruiter

☁️ SaaS

B2B • Recruitment • SaaS

RemoteStar is a global recruitment service that specializes in hiring top-quality tech talent. By assembling diverse teams with vetted developers from various regions, RemoteStar ensures high-quality staffing while maximizing cost efficiency for companies. The service includes a rigorous vetting process, technical matching, and full onboarding support, allowing businesses to focus on their core operations while RemoteStar handles the administrative aspects of recruitment and team management.

📋 Description

• 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

🎯 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