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Wynd Labs

Decentralized AI data access platform

Backend Engineer - Typescript

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A bachelor’s degree or equivalent work experience.
  • At least 2 years of experience in a backend software engineering role.
  • Solid TypeScript development skills and strong backend software engineering fundamentals.
  • A good understanding of metrics, monitoring, and alerting, with the ability to debug and troubleshoot production systems.
  • Ability to write clean, maintainable, well-tested code and make reliable improvements to existing systems.

Responsibilities

  • Build and improve backend code primarily in TypeScript.
  • Set up and maintain metrics dashboards for production systems.
  • Update existing code to support new metrics and improve system observability.
  • Set up alerts and work closely with DevOps to optimize production systems.
  • Automate deployments and operational reporting to Slack.
  • Test systems in production, identify and troubleshoot issues, and fix bugs.
  • Help clean up and improve the existing codebase.
  • Write and maintain automated tests.
  • Improve and optimize deployment processes.
  • Implement code enhancements as new requirements emerge.

Desired Qualifications

  • Experience with Go.
  • Experience with Datadog, OpenObserve, and/or building Slack bots or integrations.
  • Familiarity with web scraping and browser automation, including Playwright.

About the Company

Wynd Labs

Decentralized AI data access platform

Grass Network (Wynd Labs) builds a decentralized data-access infrastructure for AI. Its Grass network lets individuals share unused internet bandwidth and earn rewards while the system gathers public web data at internet scale. AI companies and developers can access training and inference data—text, image, video, and audio—through this distributed network built on Solana, offering a user-owned alternative to centralized web crawlers and data providers. The Grass Foundation handles contractual and revenue flows, while the GRASS token supports value accrual and governance across the network. The platform’s commercial focus is expanding from training datasets to live context retrieval and real-time data infrastructure for AI inference, serving AI companies, academic institutions, and non-profits. The goal is to provide a scalable, user-owned data layer that underpins AI with transparent governance and decentralized data access.

Company size
1-10
Company stage
Early VC
Total funding
$14.5M
Headquarters
Toronto, Canada
Founded
2023

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