Engineering Team Lead, 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. Roofr is at an inflection point with AI, and this role is at the center of it. As Engineering Team Lead of our AI Platform team, you'll own the application foundation that makes AI a native part of how Roofr's product works — establishing the integration architecture, agent patterns, and core abstractions that every product team will build on top of. This isn't a siloed role — you'll work horizontally across the entire engineering department, making you one of the most cross-cutting and influential contributors in the org. This is a rare opportunity to define how an entire product organization integrates with AI from the ground up. The architectural decisions you make here will be the ones every team follows for years. What You'll Get to Do: Build and lead a team of platform engineers, setting technical direction, conducting code reviews, and mentoring engineers as the team grows Define and build the application-layer foundation for AI at Roofr — establishing the core integration patterns, agent architecture, and shared abstractions that product teams across the org will build on Own the integration architecture strategy — making the foundational decisions on how Roofr's product connects to AI services and third-party systems, and setting the standard for how the rest of engineering builds with AI Design and maintain our third-party integration layer, establishing scalable, reliable patterns for connecting Roofr to external services and APIs Build the data pipelines that power our AI features — structured data feeds, embeddings, retrieval infrastructure, and more Take strong ownership over platform reliability, performance, and developer experience — the teams building on top of you depend on it Partner with product and engineering leadership to shape the AI roadmap and help the broader organization understand what's possible Navigate a maturing codebase and help drive architectural consistency across domains with varying levels of maturity Establish standards and best practices for how Roofr builds with AI — from SDK design to observability and reliability Evaluate emerging models, frameworks, and tooling and make pragmatic, well-reasoned bets on adoption What You'll Bring to the Role: 7+ years of software development experience, with 3+ years in a technical leadership role Practical, hands-on experience building production AI systems — you've shipped agents, integrations, or AI-powered features at scale, not just experimented with APIs Deep familiarity with LLM APIs and agent frameworks (e.g. Anthropic Claude, OpenAI, LangChain, or similar) Experience building evaluation pipelines and quality benchmarks for LLM-powered systems Strong background in integration architecture — designing reliable, extensible connectors to third-party services Experience building data pipelines that feed AI systems, including familiarity with RAG, embeddings, and vector search patterns Backend engineering depth with a track record of building systems that scale — fullstack ... (truncated, view full listing at source)