AI & Agentic Frontend Solutions Developer
Listed on 2026-06-12
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IT/Tech
AI Engineer (Applied/Software), Web Developer
AI & Agentic Frontend Solutions Developer
Contract type: Permanent
Location: Hatfield (Hybrid working - 3 days in the office)
Working hours per week: 40 hours
Level: Associate
Final date to receive applications: Tuesday 23rd June 2026
About usOur mission is to deliver joy in every shop, through unbeatable choice, unrivalled service, and reassuringly good value. We’re also on a mission to empower our business with smart technology; we've recently launched our AI Academy, providing a tailored AI learning journey for every colleague.
We’re Ocado Retail
, a market‑leading joint venture between Ocado Group and M&S, and the world’s largest dedicated online supermarket, Not only is Ocado the only place to shop a full range of M&S food online, it’s also the home to the widest online supermarket range in the UK and champion of small, independent brands. We’re also the brains behind Zoom by Ocado, our same‑day grocery delivery service.
the team and the role
At Ocado Retail, our IT & Product Support model focuses on the in‑house ownership of business‑critical systems through dedicated, high‑performing "Product Pods". This role sits within our newly established AI & Agentic Pod—a dynamic, highly strategic unit with a business‑wide remit. The mission of this pod is to review processes across every department and identify opportunities where generative AI can be used to build, test, and deploy robust micro‑applications at extreme pace, organically scaling them into a unified business operating platform.
Within this agile development pod, you will be our frontend champion. While your colleagues focus on building the robust backend infrastructure and platform backbone, your core mission is to design, craft, and polish the user‑facing interfaces for our ecosystem of micro‑applications. You will make AI highly interactive and easy to use. From designing sleek, responsive layouts for rapid micro‑apps, to translating the Data Science team's complex multi‑agent flows into delightful, intuitive graphical interfaces, you will ensure our AI products are not just powerful under the hood, but a joy to interact with.
Whatyou’ll do
- UI/UX Craftsmanship: Design and build high-performance, responsive, and visually stunning user interfaces for all internal micro‑applications and tools, ensuring a consistent and premium user experience.
- Component Library & Design Systems: Create a modular, reusable UI component library and custom design system tokens to enable the team to prototype and launch new micro‑applications at extreme speed.
- Data Science Interface Enablement: Collaborate closely with the Data Science team to translate advanced, complex multi‑agent flows, vector search queries, and generative AI outputs into interactive, highly understandable visual interfaces (e.g., node visualizers, step‑by‑step agent tracking, or dynamic chat playgrounds).
- AI Interaction Paradigms: Develop and optimise front‑end patterns tailored specifically for LLM interactions, including stream rendering, rich markdown text, custom chat containers, interactive fallback widgets, and live feedback loops.
- Backbone API Integration: Seamlessly consume and integrate your frontends with the pod's shared platform backbone, managing authentication, secure data transfer, state, and automated provisioning.
- Rapid Prototyping: Turn napkin‑sketch ideas from business teams into highly functional, interactive mockups and production‑ready applications within days.
- Reporting Structure: Report directly to the Engineering Lead.
- Frontend Virtuoso: Highly skilled in modern frontend development, with production‑grade experience in React, Type Script, and modern styling utilities (such as Tailwind CSS, Shadcn/ui, or Radix UI).
- Visual & Logic Bridge Builder: You possess a strong aesthetic eye and solid UI/UX design sensibilities, with the ability to take complex backend agent logic and distill it into simple, elegant user journeys.
- AI-Ready Developer: Familiar with frontend‑specific AI patterns and tooling (such as Vercel AI SDK, stream processing, or websocket integrations) to build highly responsive, real‑time AI interactions.
- Rapid Builder: A "maker" who…
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