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0G Labs

Product Engineer

Remote (Remote)fulltimemidAdded today

About this role

We're seeking a Product Engineer to own end-to-end features across multiple products built on the 0G stack, combining TypeScript/React development with AI infrastructure and web3 expertise. You'll drive solutions from design through production operation, working independently across UI, APIs, infrastructure, and deployment while maintaining system-wide quality and reliability.

What you'll do

  • Design and implement features end-to-end across frontend, backend, APIs, and infrastructure without stopping at your comfort layer
  • Build and improve AI-agent infrastructure including LLM streaming, tool orchestration, sandboxed execution, and security
  • Work with wallet-based identity, signing, embedded/external wallets, and server-side authorization patterns
  • Operate what you ship: monitoring, logging, observability, metrics, alerts, and ongoing optimization
  • Independently manage dependencies, reviews, blockers, and delivery while raising product risks early
  • Solve root-cause problems using shared platform systems rather than introducing isolated band-aids

What they're looking for

  • TypeScript and React across client, server, and API design
  • LLM-powered product development: streaming, tool use, prompt pipelines, agent orchestration
  • Web3 and EVM fundamentals, wallet authentication, signing patterns
  • Infrastructure as code, CI/CD, Docker, Terraform
  • Production observability: OpenTelemetry, Prometheus, Grafana, structured logging
  • Serverless and edge runtimes (Cloudflare Workers, Next.js, Remix)
  • Testing frameworks and behavior-driven development
  • Fly.io, pnpm, GitHub Actions, Vitest, Playwright

Benefits

  • Remote work arrangement
  • Market-competitive compensation with pre-launch token exposure
  • Self-directed environment to shape your role and career
  • Reimbursements for personal development (meditation, communication, fitness, coaching)
  • Mission-driven work contributing to AI as a public good
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0G Labs

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Likely interview questions

  • Walk us through a time you owned a feature end-to-end across multiple layers—how did you approach it and what made it successful?
  • Describe your experience building LLM-powered products beyond simple API calls. What was the most complex part?
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