Applied AI Engineer

Location: London, UK; hybrid working with 1 day per week in the office. Applicants must have the right to work in the UK; applications from candidates based outside the UK cannot be considered.

Salary: £70,000–£90,000 per annum.

Company

Global professional services organisation operating across more than 120 countries and supporting over 56,000 professionals, with major investment in technology, data and platforms.

What you will do

• Design, build and deliver full-stack business applications using C#/.NET and TypeScript.
• Build cloud-native solutions on Microsoft Azure and Cloudflare.
• Use AI coding agents including Claude Code, Codex and GitHub Copilot throughout the software delivery lifecycle.
• Create technical specifications and acceptance criteria, and review, test and improve AI-generated code for quality, security and maintainability.
• Develop automated testing, monitoring and observability capabilities, and support CI/CD, deployments and production releases.
• Collaborate with engineering, data, infrastructure, architecture and business stakeholders; coach colleagues on AI-assisted development and contribute to governance and change management.

Requirements

• Experience with C#, .NET/ASP.NET Core and Entity Framework Core.
• TypeScript and modern front-end frameworks such as React or Astro.
• Microsoft Azure, including App Services, Azure Functions, Azure SQL and Containers.
• SQL, relational database design and Git version control.
• Automated testing, code review, CI/CD pipelines and DevOps methodologies.
• Application security and secure software development.
• Observability and monitoring tools such as Datadog, Sentry or OpenTelemetry.
• AI coding tools such as Claude Code, Codex, Cursor or GitHub Copilot in a software engineering environment.
• Agile software development, stakeholder engagement and requirements gathering.

Nice to have

• Cloudflare Workers, edge services and security technologies such as WAF, Zero Trust or AI Gateway.
• Terraform and GitLab CI.
• Experience extending AI development tools through MCP servers, custom commands or shared agent configurations.
• Experience mentoring or coaching engineers in AI-assisted development practices.

Culture & Benefits

• Flexible hybrid working with a comprehensive benefits package.
• Exposure to large-scale global technology initiatives and international collaboration across multiple regions.
• Ongoing learning, training, professional development and career progression opportunities.
• Supportive, forward-thinking technology environment focused on AI-assisted engineering practices.