Engineering Team Lead, AI Platform

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 and APIs