AI Frontend Engineer ITV Careers

Workplace:
White City, London / Media City, Manchester. Expectations are 1-2 days in the office.

We are seeking a Frontend Engineer to join our Group Data team, working as part of the AI Agent Hub delivery team.

This role will help build, extend, and improve the user experience for ITV’s emerging internal AI platform, with an initial primary focus on Open WebUI, Svelte, Type Script, Tailwind

CSS, reusable component architecture, and AI‑specific interaction patterns.

You will work closely with platform, backend, product, design, architecture, cyber security, and data colleagues to create a secure, intuitive, and maintainable interface for ITV teams to use foundational models, assistants, agents, multimodal tools, and internal system integrations through a single governed experience.

The role sits initially in a small, hands‑on, stream‑aligned delivery team focused on shipping a high‑value internal product for ITV Studios and the wider business. It is well suited to someone who enjoys contributing to product‑facing engineering outcomes, working across front‑end and API boundaries, and translating emerging AI platform capabilities into simple, usable experiences for internal users.

The AI Agent Hub is a secure, governed internal platform that enables ITV teams to explore, build, and use AI assistants, agents, multimodal tools, and workflow integrations through a unified user experience.

It is intended to reduce fragmentation in AI tooling, improve governance and observability, and make it easier for teams to experiment safely and deliver value using shared platform capabilities.

As a Frontend Engineer embedded into the Agent Hub delivery team, you will work day to day with software engineers, platform engineers, product, design, architecture, cyber security, and data colleagues to design and deliver the user‑facing product layer of the platform. You will help make complex capabilities such as LLM routing, prompt configuration, role‑based access, knowledge retrieval, tool calling, evaluation feedback, and usage analytics understandable and useful to ITV employees.

This role is positioned initially as a stream‑aligned team role embedded in delivery. As ITV’s AI platform model evolves through 2026, there is a clear opportunity for the role to develop toward a more Forward Deployed Engineer style in 2027 and beyond, helping other teams adopt the platform, shaping integrations, and contributing to an enabling team capability within a broader core platform model.

• Build and improve front‑end features for the AI Agent Hub, primarily using Open WebUI, Svelte, Type Script, and Tailwind CSS
• Refactor and maintain reusable Svelte components so the product remains consistent, accessible, performant, and easy to extend
• Build high‑quality streaming experiences for LLM interactions, partial response rendering, loading states, cancellation, retry, error handling, and fallback messaging
• Work closely with backend and platform engineers to align UI features with API design, authentication flows, observability, deployment patterns, and operational support needs
• Help manage ITV’s Open WebUI customisations, including pragmatic fork and upstream management, upgrade planning, dependency hygiene, and maintainable extension patterns
• Run, debug, test, and release the application using local development tooling, Docker and Docker Compose, automated testing, pull requests, and clear support documentation
• Contribute to front‑end test coverage using appropriate tools such as Vitest, Cypress, Playwright, or equivalent frameworks
• Build product features that support responsible AI use, including feedback capture, evaluation hooks, audit views, provenance indicators, and human‑in‑the‑loop review patterns
• Help shape interfaces for internal system integrations, including APIs, knowledge sources, workflow automation, RAG pipelines, tool calling, and MCP‑based capabilities
• Over time, support wider AI platform adoption across ITV by helping teams configure assistants, connect tools, expose internal systems safely, and embed AI capabilities into their existing workflows

• Experience building…