The software engineer will solve technical problems, work across the tech stack, and ship products quickly. Responsibilities include coding, deploying features, managing integrations, and supporting product direction.
We’re hiring a generalist software engineer — someone who’s excited to work across the stack, solve hard technical problems, and ship product at scale. You’ll join a small, fast-moving team, work closely with the founders, and ship real product from day one. This is a high-impact, zero-to-one role: you’ll be a core member of our product & engineering team.
We’ve doubled revenue in the past 3 months and are on track to grow faster — and with that growth comes a need to scale infrastructure, expand integrations, and invent new product experiences powered by AI.
What you’ll work on
- Solve challenging technical problems in areas like data pipelines, AI-driven workflows, and system scalability
- Design, implement, and deploy features end-to-end across the stack (Python/FastAPI backend, Postgres, React/TypeScript frontend)
- Architect and maintain REST APIs for CRM, Inbox, Campaigns, and Automations
- Build production-level AI Agents using LangChain and state-of-the-art models (OpenAI, Claude, open-source) that run critical workflows for our customers
- Manage integrations with platforms like Shopify, Faire, WooCommerce, QuickBooks, and Gmail
- Scale our deployment infrastructure (Docker, Google App Engine, GCP)
- Debug production issues, support our customer team, and shape product direction directly with founders and design
You might be a fit if you
- Have 2+ years of software engineering experience
- Can own projects end-to-end — from scoping to implementation to deployment
- Are fluent in at least one major backend or frontend stack (Python/FastAPI, Postgres, or React/TypeScript) and excited to learn the rest
- Write clean, maintainable code and balance speed with long-term quality
- Thrive in early-stage environments where you wear multiple hats and drive your own roadmap
Extra points for:
- Experience building AI Agents that go beyond demos — handling production workloads and real users
- Strong product sense and ability to translate user problems into solutions
- Familiarity with LangChain or orchestration frameworks for multi-step AI reasoning
- DevOps experience (Docker, GCP, CI/CD)
- Prior startup or founder experience
Top Skills
Docker
Fastapi
GCP
Google App Engine
Langchain
Openai
Postgres
Python
React
Typescript
Overjoy New York, USA Office
28-07 Jackson Ave, New York, United States, 11101
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