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Supplyco

Technical Intern

Posted 13 Days Ago
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In-Office
New York, NY, USA
Internship
In-Office
New York, NY, USA
Internship
Build scalable full-stack data infrastructure for an AI-powered industrial distribution platform. Responsibilities include developing backend and frontend features, processing millions of company and people records, powering AI agents, building data-intensive systems with Postgres, Redis, and orchestration frameworks, and collaborating directly with customers. The role requires onsite work in New York City.
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Supplyco

Supplyco is building the industrial growth channel of the future—an AI-powered platform that connects manufacturers, distributors, and OEMs.

We're a small, talent-dense team passionate about American manufacturing. Our team includes graduates from Columbia, TUM, and University of Chicago, alumni from Dropbox, Jane Street, McKinsey, and Siemens, and builders who've shipped everything from ML pipelines to enterprise sales tools.

In months, we've signed multinational customers and are rapidly scaling. Industrial distribution is a $2 trillion industry running on spreadsheets and cold calls. Supplyco is powering what comes next.

The Role

As Founding Fullstack Engineer, you'll build the data infrastructure behind Supplyco's intelligence platform. You'll create scalable systems that process millions of company and people entries, power AI agents, and enable billions in industrial transactions.

You

  • Like building scalable, data-driven systems from all perspectives—algorithms, architecture, and infrastructure

  • Have a strong product sense and enjoy working directly with customers

  • Have shipped production code end-to-end, are strong in backend & infra, and comfortable shipping frontend features

  • Have built data-intensive production systems with Postgres, Redis, and orchestration frameworks

  • Are ready to work onsite in NYC

Tech Stack

  • FE (TypeScript): React, NextJS, TanStack Router, TanStack Query

  • BE (Python): FastAPI, Pydantic, Postgres

  • Data: Temporal, LLM pipelines

  • AI: Native models, Langfuse

  • Infra: AWS, CloudFormation, Vercel, Sentry

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