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.js/TypeScript 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 CRMs (Salesforce, ServiceTitan, LeadPerfection, AccuLynx) where the data is never clean

Partner with the voice team on real-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 pipelines

A continuous learner comfortable operating in ambiguity. You ship, learn, and adapt.

Customer-obsessed — you want to be close to the people using what you build

Bonus:

LangGraph, LangChain, or other agent frameworks

Real-time voice/audio work (LiveKit, Daily.co, Twilio Voice)

Observability tooling for LLM systems (Langfuse, LangSmith, Helicone)

Don't Apply If

You wait for instructions instead of taking initiative

You want a predictable, low-ownership role. We move fast, ship in production, and own outcomes end-to-end. If you're optimizing for predictability, this won't be a fit.

You're not excited about applying AI to the built world. There's no playbook here. If you want a well-trodden path, this isn't the role.

Compensation and Benefits

Base salary: $140,000–$180,000

Equity: Competitive equity package

Full-time, on-site in our NYC office, 5 days a week

Significant upside through early ownership and career growth

Benefits:

Unlimited PTO

$0 cost medical

401k matching

Lunch and dinner in office

Gym membership stipend

Clear Travel Pass

Tech equipment of your choice

Mentorship pairing with a Revin advisor/investor

Relocation assistance