AI Enablement Engineer

Fabletics•California, CA

3d•$160,378 - $180,000•Remote

About The Position

Fabletics is looking for an AI Enablement Engineer for our internal AI and product teams. Fabletics is seeking a talented and experienced AI Enablement Engineer to join our team. Across the company, people who aren’t engineers (we call them Builders) are already using AI and AI-assisted coding tools to get internal apps and prototypes most of the way there on their own. This role focuses on closing the last mile: making that work secure, scalable, tested, observable, and maintainable so it can reach production. The ideal candidate is a strong engineer who is also a patient enabler, someone who multiplies other people’s output by unblocking, reviewing, and hardening their work rather than taking it over.

Requirements

5 of professional software development experience, at a senior or staff level of judgment and ownership.
Deep, hands-on experience across the full path to production: architecture, secure auth and secrets handling, data modeling and governance, testing, CI/CD, monitoring, and documentation.
Experience building AI applications, including LLM APIs, prompt engineering, agents, RAG, and evals/testing, with sound judgment about where AI fits and where it doesn’t.
Comfort across a modern, fast-moving stack such as Next.js and Vercel, Supabase and Postgres, GitHub, and automation tools like Zapier, Make, n8n, or Retool. These tools are illustrative; the ability to learn and reason across a stack matters more than any specific one.
Proven ability to teach, unblock, and review the work of non-engineers patiently and pragmatically, raising the quality bar without seizing the keyboard.
Pragmatism about production standards: you know which corners can be cut for an internal prototype and which absolutely cannot.

Nice To Haves

Experience building internal platforms, developer enablement, or “paved road” tooling a plus.
Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.
Background in technical coaching, mentorship, or enabling low-code/citizen developers a plus.
Familiarity with AI-assisted frontend tools such as v0, and with edge/serverless patterns, a plus.

Responsibilities

Design and lead training for our Builder Program
Advise Builders on architecture and tooling early, so they start a use case on a sound foundation instead of refactoring later.
Give Builders a technical safety net as they build: answer questions, unblock, and steer decisions without taking the work over.
Review, harden, and deploy Builder-created apps, covering secure auth and secrets handling, data governance, testing, CI/CD, monitoring, and documentation.
Define the production path and a clear support model for each app, including who owns it after launch, so you don’t become the default permanent owner of everything.
Build reusable templates, starter kits, and guardrails that turn one good solution into a pattern everyone can reuse.
A few times a quarter, take on complex, cross-functional, or strategic builds end-to-end: scope, architect, build, and ship them tested, documented, and packaged as reusable templates.
Make Builders measurably more self-sufficient over time, so each new build is faster and safer than the last.
Partner with engineering, security, and data teams when builds need deeper review, and raise the bar on production standards across the company.