The Role and the Team
Blue Light Card serves more than 6 million members, and behind every discount and member experience sits operational work that can be done smarter. Our automation work is where we're changing that, bringing AI and automation into the way teams across the business work every day.
As AI and Automation Engineer, you'll sit at the intersection of IT operations, engineering and data, working alongside colleagues across departments to map how work gets done, spot where automation can help, and build systems that run reliably at scale. Much of that means n8n, LLM APIs and integrations, and increasingly it means designing and shipping AI agents and agentic workflows that are grounded in business knowledge, tested, monitored and safe to use.
You'll have ownership of high-impact work and be trusted to shape it, with access to the latest AI models, tools and automation platforms, and the chance to show the business what's possible.
What You'll Do
Map and document workflows across operational teams, identifying inefficiencies and prioritising the automation opportunities with the greatest impact
Translate business requirements into clear automation design, then build, test and deploy automations, primarily in n8n, with custom scripts in JavaScript, TypeScript or Python where needed
Build and ship AI agents and agentic workflows that handle multi-step tasks end to end, using n8n, LLM APIs and AI-native tools such as Claude Code and Cursor
Integrate APIs, databases, webhooks, CRMs and internal systems to create connected, modular, scalable architectures with clean, consistent data flows
Embed AI models from providers such as Anthropic and OpenAI into workflows for data extraction, routing, classification and triage, applying prompt and context engineering throughout
Ground agents in business knowledge using MCP, RAG, embeddings and vector or hybrid search, and design multi-agent systems with sensible routing, human-in-the-loop checkpoints and fallbacks
Monitor automations and agents for reliability, output quality and cost, building alerting and dashboards, and create evals and guardrails so changes ship safely, responsibly and with confidence
Work closely with colleagues across the business to capture requirements, explain how solutions work and report on the impact delivered, supported by clear documentation, while keeping an eye on new AI models and tools worth adopting
What You'll Bring
Proven experience in automation engineering, AI engineering, technical operations, solutions engineering or a similar role
Strong hands-on experience with n8n, or with Make or Zapier alongside a willingness to move across to n8n
Confidence working with REST APIs, OAuth and webhooks, and writing JavaScript, TypeScript or Python
Hands-on experience running LLM APIs in production, including building AI agents or agentic workflows with prompt and context engineering
An understanding of how to test and safeguard AI outputs, including evals, guardrails and prompt injection risks
Strong problem-solving skills, alongside excellent documentation habits
The ability to work with non-technical colleagues, translating technical concepts and capturing requirements, and ideally a record of measurable business impact from AI and automation you've delivered
Experience with Claude Code skills and subagents, custom n8n nodes, MCP servers, RAG pipelines, vector databases, knowledge graphs, multi-agent orchestration or tools such as Grafana, Langfuse and LangSmith would be a bonus, as would relevant certifications, though equivalent experience counts just as much
Our Culture
Our mission is simple: make heroes happy. Our members are real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning, what makes us want to think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service.
We don't…