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Full Stack Engineer (AI Platform)
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Full Stack Engineer (AI Platform)
💰 £80,000 to £85,000
📍 London based, hybrid with occasional office days, and some travel to the UAE.
Company & role
This role sits with a global IT solutions provider standing up something genuinely different: an autonomous rapid prototyping pod for banking, insurance and fintech clients. A small, elite team that wins its own work, takes an ambiguous client problem, and turns it into a working AI prototype in four to five weeks, then hardens it into production grade product.
You will build and ship the platform that underpins that delivery, a modern web application that moves between client facing demonstrations and hardened production services. This is a genuine end to end role. You own features from the user interface through the API, data layer, deployment and support, giving the team a single owner across the full stack rather than a handover gap between front end and back end.
You will take working prototypes from the pod's AI engineers and turn them into scalable, secure product.
Why This Role Stands Out
The pod is built for engineers who want to engineer. It is fully autonomous and protects your time: no L2 tickets, no incident queues, no being pulled onto other departments' work, no meeting culture. You own your features and you ship them.
You get true end to end ownership across user interface, API, data and deployment, real AI exposure building the interfaces, APIs and data flows that power chat, retrieval and agentic systems, and a modern cloud and GPU stack behind it. The working pattern is genuinely flexible, mostly remote with occasional London days.
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There is a growing UAE dimension to the business too. Nothing is expected, but if working in or relocating to the UAE would ever appeal, they will back you to do it.
Key Responsibilities
- Own features end to end, from user interface and user journeys through API contracts, business logic, data persistence, deployment and support
- Build modern front ends using React, Vue or Angular with TypeScript, responsive layouts, accessibility and reusable components
- Design and implement APIs, services, authentication, authorisation and integrations using Node.js, Python, Java, Go or C# and .NET
- Connect screens, forms and dashboards to backend APIs with clean contracts, sensible state management and graceful error handling
- Design and optimise relational data models across Oracle, Azure SQL and PostgreSQL
- Deploy and operate applications on Azure, including containers, managed databases, secrets management and application monitoring
- Support AI enabled features such as chat interfaces, retrieval workflows, vector search, inference APIs and GPU backed workloads
- Build APIs and interfaces that agentic systems can consume safely, with clear contracts, deterministic responses and audit logging
- Implement observability and resilience across features, and write tests spanning the front end, API layer, data and critical end to end journeys
- Contribute to code reviews across the stack, enforce standards and mentor junior engineers
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Ideal Experience
Essential
- 6 or more years of full stack engineering, delivering both front end applications and backend services
- Strong front end skills across React, Vue or Angular, with TypeScript, responsive design, component libraries and state management
- Strong backend skills using one or more of Node.js, Python, Java, Go or C# and .NET, across REST and gRPC APIs, business logic, distributed systems, authentication, authorisation, observability and testing
- Proven full stack integration experience, defining API contracts, connecting user interface workflows to backend services and debugging across the whole stack
- Enterprise data experience across Oracle, Azure SQL and PostgreSQL, including query optimisation and schema design
- Cloud native delivery on Azure, including containers, CI and CD, managed databases, secure secrets management and production operations
Desirable
- Financial services, banking, insurance or fintech experience, B2B SaaS, or other regulated environments
- Oracle Cloud Infrastructure, Oracle Fusion or ERP integrations, or Oracle data migration experience
- NVIDIA AI Enterprise, CUDA aware workloads or GPU inference deployment experience
- Azure AI services, Azure OpenAI, vector search, RAG pipelines or AI agent tool and function calling
- Design system experience, reusable component libraries and enterprise grade accessibility delivery
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