Experience:

• 3+ years of applied backend engineering experience
• Experience building and supporting production backend services
• Experience integrating backend services with third-party APIs, internal APIs, authentication providers, storage systems, and asynchronous or long-running workflows

Additional responsibilities:

• Run and debug the full application stack locally using Docker and Docker Compose
• Contribute to automated testing, technical design, pull requests, runbooks, support documentation, and engineering standards

Nice to have:

• Experience with Open WebUI backend customisation
• Experience with LiteLLM or similar LLM gateways
• Experience with asynchronous Python
• Experience with data ingestion from unstructured sources
• Experience with vector stores or search technologies
• Familiarity with RAG evaluation approaches and tools
• Experience with SSO and enterprise access patterns
• Experience with Kubernetes
• Familiarity with observability concepts

More skills:

Open WebUI backend extensions, LiteLLM integration, knowledge ingestion, model routing, secure internal system integration, evaluation workflows, operationally robust AI services, REST APIs, Flask, Django, Node.js, LLM-powered product experiences

Other:

• The role offers the chance to turn complex AI platform capabilities into secure, reliable, and reusable services for teams across ITV.
• Visible progression potential, with a path toward broader enabling and forward-deployed engineering work