Software Engineer

Revin
New York, NY
On-site

Who this role is best for

Aimed at mid-level to senior full-stack engineers who are excited about applying AI to the built world and thrive in high-ownership, on-site roles.

Best fit for

  • Mid-level to senior full-stack engineers with experience in AI-driven systems and a passion for solving real-world operational challenges
    — “We're hiring a Software Engineer to build the production systems behind our AI agents”
  • Candidates who have worked in high-velocity SaaS or AI companies and are comfortable with multi-tenant database patterns
    — “2–5 years of full-stack experience shipping production software at a startup, high-velocity SaaS, or AI-driven company”
  • Individuals who enjoy direct collaboration with product, design, and senior engineering teams and are driven by impact on enterprise customers
    — “You'll partner directly with product, design, and senior engineers, ship in production, and grow quickly”

Things to consider

  • On-site requirement in NYC for 5 days a week may be a constraint for remote-preference candidates
    — “Location: New York, NY (on-site, 5 days a week)”
  • The role demands ownership of end-to-end systems, including debugging APIs and tracing data pipelines
    — “Experience debugging APIs and tracing issues across services and data pipelines”

How to stand out

  • Emphasize experience with multi-tenant database systems and JWT-based access in your resume and interview responses
    — “Comfortable working in production systems, and eager to learn multi-tenant patterns — RLS, account-scoped queries, JWT-based access”
  • Highlight your ability to work in ambiguous environments and adapt quickly to new challenges
    — “A continuous learner comfortable operating in ambiguity. You ship, learn, and adapt.”
  • Showcase your work with LLM-powered features, even if not at scale, and your interest in optimizing AI agent behavior
    — “Eager to work with LLMs in production — you've built with LLM-powered features and want to go deeper”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • built production systems
  • shipped features end-to-end
  • optimized omnichannel experience
Typical background
full-stack engineeringproduction systems

Skills & requirements

Required

Full-stack ExperienceLLM IntegrationMulti-tenant SystemsProduction DebuggingAPI Integration

Preferred

LanggraphReal-time Voice/audio WorkObservability Tooling

Stack & domain

Full-stack EngineeringPythonFastapiNext.jsTypeScriptLlm-powered FeaturesMulti-tenant Supabase/postgresRLSJwt-based AccessAPI DebuggingData PipelinesLanggraph WorkflowsSMS And Voice ConversationsEnterprise OperatorsCrmsLivekitOpenai RealtimeOmnichannel ExperienceContinuous LearningAmbiguityInitiativeCustomer ObsessionTeamworkProblem-solvingAdaptabilityAISoftware EngineeringProduction SystemsSMSVoiceEmail

About the role

Original posting from Revin via Ashby

SOFTWARE ENGINEER

Location: New York, NY (on-site, 5 days a week)

Compensation: $175,000-$225,000 + 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

  • 2–5 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

Source: Revin careers (Ashby)

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