Senior Software Engineer

Revin
New York, NY
On-site

Who this role is best for

Geared toward full-stack engineers with AI/LLM production experience comfortable with building and debugging multi-tenant systems.

Best fit for

  • Candidates with 4–10 years of full-stack experience in high-velocity SaaS or AI-driven environments
    — “4–10 years of full-stack experience shipping production software at a startup, high-velocity SaaS, or AI-driven company”
  • Individuals who have shipped LLM-powered features for real customers, not just internal tools
    — “Production LLM experience: you’ve shipped LLM-powered features that real customers depend on”
  • Engineers who can work end-to-end across Python/FastAPI, TypeScript/Next.js, and agent workflow systems
    — “You’ll work end-to-end across a Python/FastAPI backend, a Next.js/TypeScript dashboard”
  • Candidates who are excited about applying AI to the built world and are comfortable with ambiguity
    — “You’re not excited about applying AI to the built world. There’s no playbook here.”

Things to consider

  • Requires full-time on-site presence in NYC, 5 days a week
    — “Full-time, on-site in our NYC office, 5 days a week”
  • Role demands ownership of outcomes and proactive problem-solving
    — “We move fast, ship in production, and own outcomes end-to-end”

How to stand out

  • Highlight experience with multi-tenant systems and account-scoped queries in your resume
    — “multi-tenant Supabase/Postgres environment where every query is account-scoped”
  • Emphasize your ability to build eval frameworks for LLM systems
    — “Build the eval frameworks that catch agent regressions before they reach customers”
  • Showcase your work with real-time voice/audio systems, such as LiveKit or Twilio Voice
    — “Partner with the voice team on real-time agent behavior (LiveKit + OpenAI Realtime)”
  • Demonstrate your ability to debug distributed systems and event-driven pipelines
    — “Experience debugging APIs, tracing distributed issues, and working with event-driven systems”
  • Include examples of working with unstructured data or integrating with CRMs like Salesforce or ServiceTitan
    — “Integrate with messy real-world CRMs (Salesforce, ServiceTitan, LeadPerfection, AccuLynx)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • building production systems
  • integrating with real-world CRMs
  • optimizing omnichannel experience
Typical background
full-stack developmentLLM experience

Skills & requirements

Required

PythonFastapiTypeScriptNext.jsMulti-tenant SystemsLLM Integration

Preferred

LanggraphLivekitObservability Tooling

Stack & domain

PythonFastapiNext.jsTypeScriptReact QuerySupabasePostgreSQLRLSJWTSalesforceServicetitanLeadperfectionAcculynxLivekitOpenaiLanggraphLangchainLangfuseLangsmithHeliconeProblem SolvingTeamworkCommunicationLeadershipAISoftware Engineering

About the role

Original posting from Revin via Ashby

SENIOR SOFTWARE ENGINEER

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

Compensation: $225,000–$275,000 + 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 previous waves 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 Senior 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 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 leadership, ship in production, and influence the direction of the platform.

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)
  • 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)
  • Optimize the omnichannel experience across SMS, voice, and email

WHO YOU ARE

  • 4–10 years of full-stack experience shipping production software at a startup, high-velocity SaaS, or AI-driven company
  • Production LLM experience: you’ve shipped LLM-powered features that real customers depend on, not just prototypes or internal tools
  • Fluent in Python (FastAPI) and TypeScript (Next.js, React Query)
  • Comfortable working in multi-tenant production systems (RLS, account-scoped queries, JWT-based access)
  • Experience debugging APIs, tracing distributed issues, and working with event-driven systems and unstructured 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 in production
  • 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 & BENEFITS

  • Base Salary: $225,000–$275,000
  • 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
  • 401(k) matching
  • Lunch and dinner in office
  • Gym membership stipend
  • CLEAR Travel Pass
  • Tech equipment of your choice
  • Mentorship pairing with a Revin advisor or investor
  • Relocation assistance

Source: Revin careers (Ashby)

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