Senior Java Engineer (AI Enablement)

TL;DR

Senior Java Engineer (AI Enablement): Modernizing critical legacy financial services using AI-first development practices with an accent on API design, microservices architecture, and automated infrastructure. Focus on building AI-powered CI/CD pipelines, implementing agentic solutions, and demonstrating measurable productivity gains through AI integration.

Location: Must be based in London, UK (Hybrid: 3 days in office)

Company

hirify.global is a FTSE100 fintech leader providing retail trading and investment services since 1974, operating globally with a focus on innovation and scale.

What you will do

• Modernize legacy services using AI to analyze codebases, extract clean APIs, and implement strangler fig patterns.
• Build AI-powered development infrastructure, including Model Context Protocol (MCP) servers and automated CI/CD pipelines.
• Develop reusable AI tooling and automation using LLM APIs, Claude Code, and GitHub Copilot.
• Ship modernized services in fast cycles with measurable improvements in performance and reliability.
• Train and mentor engineering teams on AI-enabled workflows and best practices.
• Document AI-driven patterns and share productivity data across the organization.

Requirements

• 8+ years of software engineering experience with deep Java backend expertise.
• Strong background in microservices architecture, API design, and legacy system migration.
• Hands-on experience building with Model Context Protocol (MCP) and agentic AI solutions.
• Proven track record of using AI development tools (Claude Code, GitHub Copilot) in production environments.
• Experience implementing AI-assisted CI/CD pipelines for code review, testing, and security.
• Must be able to work in a hybrid model from the London office.

Culture & Benefits

• Competitive salary with a 12% flexible benefits package.
• Private medical cover and life insurance.
• 28 days total holiday (including birthday and volunteer days) with buy/sell options.
• Unlimited access to LinkedIn Learning.
• Supportive parental leave policies and employee-led diversity networks.
• Focus on high-performance, collaborative, and delivery-oriented culture.