> Markdown version of [/jobs/ext/3947067-front-end-engineer-ai-platforms](https://www.wearedevelopers.com/jobs/ext/3947067-front-end-engineer-ai-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Front End Engineer (AI Platforms) - **Company:** HSBC Group - **Location:** Sheffield, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Continuous Integration, E2e Testing, Next.js, Server Administration, TypeScript, Web Applications, Workflow Management Systems, ReactJS, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Event Driven Architecture, AI Platforms, Kubernetes, Low-code, Front End Software Development, Restful APIs, Docker - **Published:** October 27, 2026 - **Apply:** https://dejobs.org/x/x/8F0BEFE910CD44F2B04528A3162C2527/job/ ## About the Role * Significant frontend engineering experience with React, Next.js and TypeScript, with experience using Kubernetes, Docker & CI/CD * Experience designing and building enterprise-grade web applications and developer platforms . * Strong understanding of frontend architecture, state management, API integration and asynchronous workflows. * Experience with automated testing, including unit, integration and end-to-end testing. * Understanding of REST APIs, event-driven systems and distributed platform architecture. * Exposure to GenAI, LLMs, agentic workflows, MCP, RAG or AI platform concepts. ## Description * Develop AgentHub web applications and developer experiences using React, Next.js and TypeScript. * Build interfaces for: * Agent creation and configuration. * Workflow design and orchestration. * Tool and MCP server management. * Prompt and model configuration. * Memory and context settings. * Agent triggers and API configuration. * Testing, evaluation and approval workflows. * Runtime monitoring and operational dashboards. * Policy and control visibility. * Develop reusable frontend components and patterns. * Build low-code experiences that enable users to create agents and workflows without compromising security or operational controls. * Integrate frontend applications with backend APIs, event streams and platform services. * Support agent lifecycle journeys covering development, testing, approval, deployment and retirement. * Provide clear feedback on validation errors, policy decisions, approval requirements and runtime status.