Hybrid AI Engineer: Cloud-Native .NET/Azure

Fruition Group; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary + benefits

Flexible hybrid working

Global collaboration

Job summary

Fruition Group in London seeks an Applied AI Engineer to design, build and deliver full-stack business applications, leveraging AI coding tools throughout the development lifecycle. You’ll work with C#/.NET and TypeScript, on cloud-native solutions hosted on Azure and Cloudflare, and collaborate with global engineering teams.

You will help define technical standards, coach peers in AI-assisted development best practices, and contribute to secure, scalable software delivery across international

Qualifications

• Design and build full-stack applications using C#/.NET and TypeScript.
• Develop cloud-native solutions on Azure and Cloudflare.
• Deliver software with AI coding agents and ensure quality.

Responsibilities

• Designing and developing full-stack applications using C#/.NET and TypeScript.
• Building cloud-native solutions on Microsoft Azure and Cloudflare.
• Delivering software through AI coding agents like Claude Code/Codex/GitHub Copilot.
• Defining technical specs and acceptance criteria for AI-assisted development.
• Reviewing AI-generated code for security and maintainability.
• Developing automated tests, monitoring, and observability.

Skills

C#

.NET Core

TypeScript

Azure

SQL

React

Git

CI/CD

Agile

AI coding tools

Security

Observability

Cloudflare

Azure Functions

Entity Framework Core

Datadog

Sentry

OpenTelemetry

Terraform

GitHub Copilot

Tools

Entity Framework Core

Datadog

Sentry

OpenTelemetry

Terraform

GitHub Copilot

Job description

Fruition Group in London seeks an Applied AI Engineer to design, build and deliver full-stack business applications, leveraging AI coding tools throughout the development lifecycle. You’ll work with C#/.NET and TypeScript, on cloud-native solutions hosted on Azure and Cloudflare, and collaborate with global engineering teams.

You will help define technical standards, coach peers in AI-assisted development best practices, and contribute to secure, scalable software delivery across international