{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Full Stack Engineer – AI”, “description”: “
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.
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
- 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
Frontend Engineering
- TypeScript
- React
- Next.js
- Modern frontend patterns (hooks, state management, server/client data fetching)
Identity & Security Architecture
- SSO flows
- OAuth2 & OpenID Connect
- Multi‑tenant architecture (data isolation, tenant‑aware auth, scaling)
- Docker & containerisation
- 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
AI-Enabled Engineering
- AI-assisted development workflows (Copilot, Claude Code or similar)
- Advanced prompting for engineering tasks
- Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar)
- Using AI as a force multiplier without compromising maintainability or security
What Makes This Role Different
- 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
Salary & Package
- High ownership, high autonomy
- Exposure to advanced AI engineering practices
Company: Salt
Location:
Job Description:
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.
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
- 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
Frontend Engineering
- TypeScript
- React
- Next.js
- Modern frontend patterns (hooks, state management, server/client data fetching)
Identity & Security Architecture
- SSO flows
- OAuth2 & OpenID Connect
- Multi‑tenant architecture (data isolation, tenant‑aware auth, scaling)
- Docker & containerisation
- 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
AI-Enabled Engineering
- AI-assisted development workflows (Copilot, Claude Code or similar)
- Advanced prompting for engineering tasks
- Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar)
- Using AI as a force multiplier without compromising maintainability or security
What Makes This Role Different
- 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
Salary & Package
- High ownership, high autonomy
- Exposure to advanced AI engineering practices
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Posted: May 2nd, 2026