£700 Per day
Undetermined
Remote
London
Summary: Senior Java Developer with expertise in AI and LLM is sought by a trading company in London for a contract role. The position requires extensive backend engineering experience and a proven track record in modernizing production systems. Candidates should have hands-on experience with AI development tools and demonstrate the ability to integrate AI into existing workflows. Remote work options are available for exceptional candidates.
Key Responsibilities:
- Utilize backend engineering expertise to enhance production systems and design APIs/microservices.
- Implement AI/LLM solutions, integrating AI into CI/CD pipelines and building automation.
- Demonstrate the impact of AI on productivity and code quality through successful projects.
Key Skills:
- 8+ years of software engineering experience with strong Java backend skills.
- Proven track record in modernizing production systems and designing APIs/microservices.
- Hands-on experience with AI development tools (e.g., Claude Code, GitHub Copilot) and Model Context Protocol (MCP).
- Knowledge of prompt engineering, model selection, and LLM capabilities.
- Experience with AI-assisted refactoring, test generation, and documentation at scale.
Salary (Rate): £700 daily
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
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 backend 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 (e.g., 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