Senior Java Engineer (AI)

TL;DR

Senior Java Engineer (AI): Modernizing legacy financial services using AI-first development practices with an accent on service decomposition and AI-powered automation. Focus on implementing MCP servers, integrating LLMs into CI/CD pipelines, and shipping high-impact modernized services in fast cycles.

Location: Hybrid (City of London, UK) — 3 days in the office required

Company

A FTSE100 fintech leader operating across five continents, specializing in retail trading and investment since 1974.

What you will do

• Modernize legacy services using AI for code analysis, dependency mapping, and API extraction.
• Implement strangler fig patterns and other proven migration approaches to replace high-impact legacy systems.
• Build AI-powered infrastructure, including MCP servers for service discovery and architecture compliance.
• Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation.
• Develop reusable AI tooling and automate workflows using Claude Code, GitHub Copilot, and LLM APIs.
• Mentor other engineers on AI-enabled workflows through documented patterns and shared learnings.

Requirements

• 8+ years of software engineering experience with deep Java backend expertise.
• Proven track record of modernizing production systems at scale and designing microservices architecture.
• Hands-on experience building with Model Context Protocol (MCP).
• Demonstrated use of AI tools (Claude Code, GitHub Copilot) in production environments.
• Experience building agentic AI solutions or AI-powered automation tools.
• Must be based in or able to work hybridly in London (3 days per week).

Culture & Benefits

• Competitive salary plus a flexible benefits package (12% on top of salary).
• Private medical cover and life insurance.
• 28 total days of holiday, including birthday and volunteering leave.
• Unlimited access to the LinkedIn Learning Platform and tailored development programs.
• Inclusive culture with employee-led diversity networks (LGBTQ+, Women’s, Black, and Parents & Carers).
• Contributions to gym memberships and opportunities for ESG initiatives.