> Markdown version of [/jobs/ext/1458914-software-engineer](https://www.wearedevelopers.com/jobs/ext/1458914-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** REVIN - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Software Debugging, Python (Programming Language), PostgreSQL, Next.js, Salesforce.Com, Twilio, TypeScript, Datadog, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Data Pipelines - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2fc198c5888897ab ## About the Role * 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) ## Description 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 ## Related Videos - [Under the Hood of Building on Lovable](https://www.wearedevelopers.com/videos/100032-under-the-hood-of-building-on-lovable) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [20 billion requests a week: Upgrading Twilio's API gateway at scale](https://www.wearedevelopers.com/videos/100234-20-billion-requests-a-week-upgrading-twilio-s-api-gateway-at-scale) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 159: AI Pipelines, 10x Faster TypeScript, How to Interview](https://www.wearedevelopers.com/magazine/563-dev-digest-159-ai-pipelines-10x-faster-typescript-how-to-interview) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)