Note: The job is a remote job and is open to candidates in USA. Fabletics is seeking an AI Enablement Engineer to support internal AI and product teams. The role helps non-engineering Builders turn AI-assisted applications and prototypes into secure, scalable, tested, observable, and maintainable production systems through training, technical guidance, reviews, reusable tooling, and strategic development.
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
Skills
- 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
- 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
- Experience building internal platforms, developer enablement, or “paved road” tooling a plus
- 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
Benefits
- Hybrid Work Schedule*
- Discretionary Paid Time Off*
- Summer Fridays*
- Healthcare Plans
- Employee Discounts
- 401k
- Annual Bonus Program
- Equity Program*
Company Overview
Company H1B Sponsorship