Full Stack Engineer - AI

The Opportunity

We’re partnering with a rapidly growing AI & Cloud consultancy that is building something genuinely different in the market.

This isn’t just another consultancy role. You’ll work across:

• Cutting-edge internal AI products being taken to market
• 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.

• 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, Dev Ops and AI tooling
• Embedding AI‑assisted workflows into real‑world engineering environments
• Contributing to multi‑tenant, secure SaaS architectures

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

• Type Script
• React
• Next.js
• Modern frontend patterns (hooks, state management, server/client data fetching)

• SSO flows
• OAuth2 & OpenID Connect
• Multi‑tenant architecture (data isolation, tenant‑aware auth, scaling)
• Docker & containerisation
• Azure Entra  & managed identities
• Secure networking (VNets, private endpoints, ingress/egress patterns)
• Infrastructure as Code (Terraform, Bicep or similar)

• Advanced CI/CD pipelines (Azure Dev Ops, Git Hub Actions)
• Build, test & release automation

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

• You’ll help build real AI products
  , not just prototypes
• 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

• High ownership, high autonomy
• Exposure to advanced AI engineering practices