Java Developer - AI/LLM

Summary: Senior Java Developer with expertise in AI and LLM is sought by a trading company based in London for a contract role. The position offers a remote option for outstanding candidates and requires extensive backend engineering experience along with skills in AI implementation. The ideal candidate will have a proven track record in modernizing production systems and integrating AI into development processes.

Key Responsibilities:

• Utilize backend engineering expertise with strong Java skills.
• Modernize production systems and design APIs/microservices.
• Implement AI development tools and integrate AI into CI/CD pipelines.
• Demonstrate the impact of AI on productivity and code quality.
• Engage in AI-assisted refactoring, test generation, and documentation.

Key Skills:

• 8+ years of software engineering experience with strong Java Back End skills.
• Proven track record in modernizing production systems and designing APIs/microservices.
• Deep understanding of legacy migration strategies and service decomposition.
• Hands-on experience with AI development tools and Model Context Protocol (MCP).
• Experience integrating AI into CI/CD pipelines and building AI-powered automation.
• Knowledge of prompt engineering, model selection, and LLM capabilities.
• Demonstrated success in using AI to improve productivity and code quality.
• Experience with AI-assisted refactoring, test generation, and documentation at scale.

Salary (Rate): £700 per day

City: London

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Senior Java Developer - AI/LLM - sought by trading company based in London - Contract

(Remote option available for outstanding candidates)

What We're Looking For

• Backend Engineering Expertise
• 8+ years of software engineering experience with strong Java Back End skills.
• Proven track record in modernising production systems and designing APIs/microservices.
• Deep understanding of Legacy migration strategies and service decomposition.
• AI/LLM Implementation Skills
• Hands-on experience with AI development tools (eg, Claude Code, GitHub Copilot) and Model Context Protocol (MCP).
• Experience integrating AI into CI/CD pipelines and building AI-powered automation.
• Knowledge of prompt engineering, model selection, and LLM capabilities.
• Proven AI Impact
• Demonstrated success in using AI to improve productivity and code quality.
• Experience with AI-assisted refactoring, test generation, and documentation at scale.

Please apply within for further details - Matt Holmes, Harvey Nash