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For Companies At a Glance
- Tasks: Design and build secure, scalable AI-powered applications and platforms.
- Company: Join a rapidly growing AI & Cloud consultancy with a unique market approach.
- Benefits: Earn £70,000 plus flexible working and high autonomy.
- Why this job: Make a real impact by building innovative AI products and shaping engineering standards.
- Qualifications: Experience in full stack development with .NET, React, and Azure.
- Other info: Work directly with industry leaders and enjoy excellent career growth opportunities.
The predicted salary is between 42000 - 84000 £ per year.
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
- 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) ASP.NET 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-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)
- AI coding guardrails & validation gates
- 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
£70,000 Flexible working, High ownership, high autonomy, Exposure to advanced AI engineering practices
Full Stack Engineer - AI in England employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer - AI in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud consultancy space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving .NET, React, and AI. Make sure to include links to your GitHub or any live demos. This is your chance to shine and demonstrate your hands-on experience!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of cloud-native applications. Practice common algorithms and system design questions. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, hit that apply button and let’s get you in for an interview!
We think you need these skills to ace Full Stack Engineer - AI in England
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with .NET, React, and Azure. We want to see how you've used these technologies in real projects, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Full Stack Engineer role. We love seeing candidates who take the extra step to connect their skills with what we’re looking for.
Be Authentic: Let your personality shine through in your written application. We’re not just looking for technical skills; we want to know who you are and what drives you. Share your passion for AI and engineering, and why you think you’d be a great fit for our team!
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands. We can’t wait to hear from you!
How to prepare for a job interview at Salt
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially .NET, React, and Azure. Brush up on your knowledge of C#, ASP.NET Core, and modern frontend patterns. Being able to discuss your experience with these tools confidently will show that you're a strong candidate.
✨Showcase Your AI Knowledge
Since this role involves building AI-enabled platforms, be prepared to discuss your understanding of AI concepts and how they can be applied in engineering. Share examples of any AI projects you've worked on, and be ready to explain how you’ve used AI tools like Copilot or Claude Code in your development workflows.
✨Prepare for Architectural Discussions
This position requires shaping architecture decisions, so be ready to talk about your experience with secure, scalable cloud-native applications. Think about past projects where you contributed to architecture design and be prepared to discuss the principles you followed, such as SOLID principles and clean architecture.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice coding challenges and be ready to explain your thought process. Highlight your experience with TDD, unit testing, and integration testing, as these are crucial for maintaining code quality in high-impact projects.
