Senior Backend Engineer, AI Platform

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products. We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact. This position is for an existing vacancy. Senior Backend Engineers to help build iRoofr is building the application foundation that will define how AI is integrated across our entire product — and we're looking for t. You'll be a core contributor on the team establishing the integration architecture and agent patterns that product teams across Roofr will build on top of. This is early, foundational work — you're setting the standard, not following it — and the code you write will have outsized reach and impact across the entire company. What You'll Get to Do: Build the application-layer foundations for AI integration at Roofr — the integration patterns, agent scaffolding, and shared architecture that product teams depend on when shipping AI-powered features Design and implement reliable, scalable integrations with third-party services and APIs Build data pipelines that feed Roofr's AI systems — including structured data feeds, embeddings, and retrieval infrastructure Design and maintain rigorous evaluation frameworks for AI systems — including accuracy benchmarks, regression suites, and automated quality checks that give the team confidence to iterate quickly Collaborate horizontally across engineering teams to understand needs, establish shared patterns, and ensure the platform is built for real use cases Take strong ownership of what you build — reliability, performance, and developer experience are part of the job, not an afterthought Contribute to standards and best practices for how Roofr builds with AI Stay close to the evolving AI landscape and bring pragmatic, well-reasoned ideas to the team What You'll Bring to the Role: 5–8 years of backend software development experience Practical, production experience building AI-powered systems — you've shipped agents, integrations, or LLM-powered features at scale Hands-on familiarity with LLM APIs and agent frameworks (e.g. Anthropic Claude, OpenAI, LangChain, or similar) Experience building evaluation pipelines for LLM-powered systems — you understand why 'it seems to work' isn't good enough and have built the tooling to prove it Strong integration engineering background — you know how to design reliable connectors to external services that hold up in production Experience building data pipelines for AI use cases, including familiarity with RAG, embeddings, and vector search A track record of building backend systems that scale — you care about architecture, not just shipping Experience with PHP/Laravel is an asset; what matters most is deep backend engineering fundamentals and the ability to ramp on a stack Strong sense of ownership — you don't wait to be told when something needs fixing or improving Clear communicator who can collaborate across teams and explain technical decisions without jargon Experience at an early-stage or high-growth company, and comfort operating in a fast-moving environment Genuine curiosity about AI and what it can unlock — and the engineering discipline to build it the right way 🏠 What we offer (US + Canada) W ... (truncated, view full listing at source)