Full Stack Engineer - AI

• Cutting-edge internal AI products being taken to market
• High-impact enterprise customer projects
• Direct collaboration with one of the most technically respected leaders in the cloud & AI space

This is a hands-on engineering role for someone who wants to operate at a high technical bar, shape architecture decisions, and build modern AI-enabled platforms properly.

If you care about clean design, security, performance, and using AI responsibly to accelerate engineering - you’ll thrive here.

What You’ll Be Doing

• Designing and building secure, scalable cloud-native applications
• Contributing to internal AI-powered products from concept to market launch
• Working closely with a deeply technical industry leader to shape architecture and engineering standards
• Building modern full-stack platforms across backend, frontend, cloud, DevOps and AI tooling
• Embedding AI-assisted workflows into real-world engineering environments
• Contributing to multi-tenant, secure SaaS architectures

Technical Environment:

Backend Engineering

• C# (.NET / .NET Core)
• Core APIs
• Entity Framework Core & Dapper (and knowing when to use each)
• SOLID principles & clean architecture
• Asynchronous programming, concurrency & performance tuning
• TDD, unit testing & integration testing
• Code quality gates & peer review discipline
• Secure coding practices

Frontend Engineering

• TypeScript
• React
• Next.js
• Modern frontend patterns (hooks, state management, server/client data fetching)
• Robust API integration & error handling

Identity & Security Architecture

• Authentication & authorisation design
• SSO flows
• OAuth2 & OpenID Connect
• JWT best practices (signing, expiry, refresh, validation)
• Multi-tenant architecture (data isolation, tenant-aware auth, scaling)

Cloud & Infrastructure (Azure)

• Azure PaaS (App Services, Functions, Storage, Service Bus, Key Vault)
• Docker & containerisation
• AKS / container orchestration fundamentals
• Azure Entra ID & managed identities
• Secure networking (VNets, private endpoints, ingress/egress patterns)
• Infrastructure as Code (Terraform, Bicep or similar)

DevOps & Delivery

• Advanced CI/CD pipelines (Azure DevOps, GitHub Actions)
• Build, test & release automation
• Secure pipeline design & secrets management
• Environment promotion strategies

• AI-assisted development workflows (Copilot, Claude Code or similar)
• Advanced prompting for engineering tasks
• Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar)
• AI coding guardrails & validation gates
• Using AI as a force multiplier without compromising maintainability or security

• You’ll operate at a genuinely high engineering bar
• You’ll work directly with one of the most technically credible names in the industry
• You’ll influence architecture, standards and best practice from day one
• You’ll join at a stage where your impact is visible and meaningful

Salary & Package

• £70,000
• Flexible working
• High ownership, high autonomy
• Exposure to advanced AI engineering practices