Founding Engineer (AI-Native)
AI summary of the role
Founding engineer for a venture-studio-backed startup building an AI-powered evidence layer for commerce, turning buyer video into structured product evidence on Shopify.
What you’ll do
- Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline, internal tooling
- Harden live Shopify app and storefront integration across OS 2.0 and legacy themes with safe rollouts and rollback
- Extend 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, self-serve tooling
What you’ll bring
- Shipped to production across the stack with strong fundamentals in performance, reliability, security, and product/UX judgment
- AI-native builder: ships production code with agentic tools (Cursor, Claude Code, Codex CLI, similar)
- Uses AI for speed while maintaining quality with tests/CI/observability, and can debug AI output
- Thrives in ambiguity and very small-team environment; eager to learn new tools and domains fast
Technologies
Shopify · Mux · AI extraction · Cursor · Claude Code · Codex CLI · CI · observability · storefront widget · mobile web
About AI Fund
Venture studio that co-founds AI startups from idea to launch, pairing internal concepts with external founding CEOs/CTOs across healthcare, fintech, logistics, and enterprise.
Private Late
Source and classification
Production engineering · Evidence for this classification:
to recommend, compare, and explain products with real evidence, not guesswork. Vidably is backed and supported by AI Fund. Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, AI Fund works alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success. About the role 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. Responsibilities for the Role Include: 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
More from the job description
Who we are Vidably is building the evidence layer for commerce: verified buyer video, structured with AI, and tied to outcomes. UGC video contains more product truth than specs, studio media, or text reviews because it shows fit, feel, use-case, and tradeoffs in real contexts. It is how people actually decide what to buy. Today, the most impactful buyer video lives on platforms like TikTok and Reels, disconnected from product pages, outcomes, and brand control. Vidably brings that content onto owned commerce surfaces, uses AI to turn it into structured, SKU-level evidence, and measures what actually drives conversion. We share incremental value with creators, which unlocks far more high-quality buyer video and a system that learns what matters for each product. This is the missing input for shopping agents. The same signals humans use to buy confidently are the signals an agent needs to recommend, compare, and explain products with real evidence, not guesswork. Vidably is backed and supported by AI Fund. Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, AI Fund works alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success. About the role 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, [... source excerpt omitted ...] t → 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 Required Qualifications Include: 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 a
Employer postings · Data from · Sources