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# Founding Engineer

- **Company:** AI Fund
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cursor (Graphical User Interface Elements), Software Debugging, Shopify, Production Code
- **Published:** July 21, 2026
- **Apply:** https://www.dice.com/job-detail/33053408-16f4-44a2-a7bd-0062d61c1459

## About the Role

* You've shipped to production across the stack and you close loops fast - you design, build, debug, and operate
 * Strong fundamentals: performance, reliability, security, and product/UX judgment (especially on conversion-sensitive surfaces)
 * AI-native builder: you ship production code with agentic tools (Cursor, Claude Code, Codex CLI, similar).
 * You use AI for speed, keep quality high with tests/CI/observability, and can debug when AI output is wrong
 * Thrive in ambiguity and a very small-team environment.
 * You're excited to learn new tools and domains fast, and you jump into whatever needs doing

Nice to Have Skills Include:

 * Shopify apps/theme integration experience, or embedded widget/SDK experience in hostile third-party environments
 * Video pipeline familiarity (Mux or similar)
 * Experimentation/analytics rigor: clean event design, integrity checks, debugging

## Description

This is a hands-on, jump-into-anything role on a small, talented team. You'll help build the AI-powered evidence layer for commerce, making Vidably self-serve and reliable across real Shopify storefronts. Candidates must currently be based in the Bay Area. Relocation will not be an option for this role., * Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline, internal tooling

 * Harden a live Shopify app and storefront integration across OS 2.0 and legacy theme realities with safe rollouts and easy rollback
 * Extend the mobile web creator upload flow with Mux: QR - prompt - record/upload - consent - submit
 * Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve/publish, and self-serve tooling

What Success Looks Like:

 * Onboarding new customers becomes boring and repeatable
 * Founder minutes per merchant drops materially because workflows are productized
 * We can scale customers without bespoke engineering per store


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