Quo - Staff Backend Engineer, AI Agent Platform

• Node and TypeScript on the backend • Event-driven microservices with Temporal and RabbitMQ at the centre • Kubernetes on AWS • Datadog for observability • Web (React), iOS and Android clients on the other side of the API • Language is not a filter. If you've built the right things in Go, Python, Java or anything else, we'd rather talk to you than to someone who knows Node but hasn't. • You've built and scaled the backend of a product with a lot of real users, and you've led the architecture of business-critical services. • You've shipped LLM-powered systems to production, ideally an agent platform or orchestration layer. If you haven't built an agent platform yet but have built something close, like an ML platform, a workflow engine or real-time communications infrastructure, and you've gone deep on LLMs hands-on, we'd still love to talk. • You're strong in TypeScript and Node, or you're fluent in another backend language and keen to ramp up on ours. • You have high agency. You see what needs doing, pick it up and move it forward without waiting to be asked. • You learn fast and you're plugged into the AI world. You know what's changing in models, agent frameworks and tooling, and you have opinions about it. • You write clear design docs, explain trade-offs well and bring other engineers and teams along with you. • You care about customers. You weigh technical decisions against the experience of a small business owner using our product every day. • Have run Temporal or another durable workflow engine in production. • Have worked on customer-facing AI products, not only internal developer tooling. • Have founded or been early at a startup.