Senior Backend Engineer AI Platform

Senior Backend Engineer (AI Integration)

About

Roofr is obsessed with its customers, building a CRM that connects essential sales tools, payments, material ordering, and more into a seamless platform. The company has an amazing culture, strong financials, and best-in-class metrics, offering significant growth, equity, and impact opportunities. Roofr is expanding and leading the market with innovative products.

This role is for an existing vacancy, seeking Senior Backend Engineers to build the application foundation for AI integration across Roofr's product suite. You will be a core contributor establishing integration architecture and agent patterns that product teams will build upon. This is foundational work where you will set standards, and your code will have company-wide reach and impact.

Responsibilities

• Build application-layer foundations for AI integration, including integration patterns, agent scaffolding, and shared architecture for AI-powered features.
• Design and implement reliable, scalable integrations with third-party services and APIs.
• Build data pipelines for 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.
• 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 reliability, performance, and developer experience.
• Contribute to standards and best practices for building with AI at Roofr.
• Stay close to the evolving AI landscape and bring pragmatic, well-reasoned ideas to the team.

Requirements

• 5–8 years of backend software development experience.
• Practical, production experience building AI-powered systems (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.
• Strong integration engineering background with experience designing reliable connectors to external services.
• 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, with a focus on architecture.
• Experience with PHP/Laravel is an asset; deep backend engineering fundamentals and the ability to ramp on a stack are most important.
• Strong sense of ownership and proactive problem-solving.
• 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 its potential.