Salary: £52,000 - 92,000 per year Requirements: 6 years of professional software engineering experience with a track record of architecting and delivering complex applications from concept to production Expert-level proficiency in Python for backend services, data pipelines, and AI integration, including frameworks such as FastAPI, Pydantic, and async patterns Strong proficiency in TypeScript and React for building production-grade frontends, with solid understanding of state management, performance optimisation, and modern component architectures Deep practical knowledge of integrating and scaling LLM features in production environments, including managing token limits, latency budgets, model grounding, prompt engineering, and structured output parsing Strong understanding of full-stack system design principles including API design, microservices architecture, event-driven patterns, and distributed caching strategies Comfortable working with AI-assisted development tools (e.g. Claude Code, GitHub Copilot) to accelerate delivery of production-grade code Experience with CI/CD tooling (GitHub Actions or Azure DevOps), containerisation (Docker), and Infrastructure as Code concepts (Terraform preferred) Working familiarity with Azure cloud services — particularly Azure OpenAI Service, Azure AI Search, and Azure Container Apps — sufficient to design and deploy AI-driven solutions within our existing Azure estate Responsibilities: Design scalable, secure, and fault-tolerant full-stack architectures that seamlessly blend traditional web services with generative AI components, ensuring high availability and resilience across Azure-hosted environments Architect complex backend pipelines in Python, incorporating multi-agent systems, advanced RAG patterns, and prompt engineering strategies within Azures enterprise AI ecosystem (Azure OpenAI, Azure AI Search, Document Intelligence) Establish and enforce best practices for the TypeScript/React frontend, ensuring a highly performant, accessible, and intuitive user experience for AI-driven tooling, including real-time streaming interfaces and interactive data visualisations Lead the configuration and optimisation of Azure cloud environments, establishing robust CI/CD pipelines with GitHub Actions or Azure DevOps, and ensuring cost-optimised use of Azure AI APIs, GPU compute, and container orchestration resources Set the standard for code quality through comprehensive code reviews, technical design documents, and architectural decision records; mentor junior and mid-level engineers to grow their capabilities Champion Responsible AI practices including model evaluation, bias monitoring, content filtering, and compliance with data protection regulations; define and maintain guardrails for LLM-powered features in production Identify patterns in recurring issues and engineer permanent solutions Contribute to technical pre-sales and client engagements by providing architectural guidance, solution design, and effort estimation for AI-driven projects Technologies: AI API Architect Azure Backend CI/CD Claude Code Cloud Copilot DevOps Docker FastAPI Frontend GitHub LLM Python React Terraform TypeScript Web microservices Fabric Kubernetes OAuth More: At Synextra, we are a Microsoft-specialist Managed Service Provider headquartered in Warrington, focusing on delivering premium solutions to regulated mid-market organisations, including law firms and financial services. We believe in maintaining a deliberately small team of around 35 people to ensure technical depth and quality outcomes. Our AI Services Division is fast-growing, providing an opportunity for you to shape the architecture, standards, and products we build. Joining us means engaging in a hands-on role at the intersection of software engineering and applied AI, with autonomy to influence our projects significantly. last updated 12 week of 2026