Software Engineer

Software Engineer Location: New York, NY (on-site, 5 days a week) Compensation: $140,000–$180,000 + equity Employment: Full-time Department: Engineering About Revin At Revin, we're bringing AI to the built world. Millions of operators across home services, construction, and remodeling have been overlooked by the last wave of technology. We're building the system of intelligence that lets them automate and scale revenue. Today, over $2.3B in revenue runs on Revin, making us the #1 AI partner for enterprise operators in this market. Our customers include Sears Home Services ($800M), Astara Capital ($700M), Del Air ($150M), Long Home Remodeling ($150M), ImproveIt Remodeling ($100M), Sage Home ($80M), and more. We've raised $10M from Stellation Capital, 1Sharpe, Gokul Rajaram, Russ Heddleston, Michael Werner, Tandem, Max Branzburg, and Marc Bhargava. About the Role We're hiring a Software Engineer to build the production systems behind our AI agents — the agents that handle SMS, voice, and email conversations on behalf of $100M+ home-services operators. When our agent makes a mistake — books outside hours, dispatches to the wrong zip code, promises a service the business doesn't offer — it costs our customers real money. Your job is to help build the systems that prevent that. This is a high-ownership role. You'll work end-to-end across a Python/FastAPI backend, a Next.j [... source excerpt omitted ...] t dashboard, and the LangGraph workflows that drive agent behavior. You'll partner directly with product, design, and senior engineers, ship in production, and grow quickly. What You Will Do Build and evolve LangGraph workflows that handle SMS and voice conversations for enterprise operators Ship features end-to-end across a Python/FastAPI backend and a Next.js/TypeScript dashboard Work in a multi-tenant Supabase/Postgres environment where every query is account-scoped (RLS, JWT-based access) Help build the eval frameworks that catch agent regressions before they reach customers — we treat eval quality as a first-class engineering discipline Integrate with messy real-world [... source excerpt omitted ...] al-time agent behavior (LiveKit + OpenAI Realtime) Help optimize the omnichannel experience across SMS, voice, and email Who You Are 2–4 years of full-stack experience shipping production software at a startup, high-velocity SaaS, or AI-driven company Eager to work with LLMs in production — you've built with LLM-powered features and want to go deeper, even if you haven't owned them at scale yet Working proficiency in Python (FastAPI) and TypeScript (Next.js, React Query) Comfortable working in production systems, and eager to learn multi-tenant patterns — RLS, account-scoped queries, JWT-based access Experience debugging APIs and tracing issues across services and data pipel