Note: The job is a remote job and is open to candidates in USA. Fabletics is seeking an AI Enablement Engineer to support its internal AI and product teams. The role helps non-engineer Builders bring AI-powered applications and prototypes to production by providing architectural guidance, technical coaching, security, testing, deployment, monitoring, and documentation. The engineer will also create reusable templates and guardrails while partnering with engineering, security, and data teams to improve production standards.
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, varied for retail, fulfillment and fully remote roles
- Discretionary Paid Time Off, varied for retail, fulfillment and fully remote roles
- Summer Fridays, varied for retail, fulfillment and fully remote roles
- Healthcare Plans
- Employee Discounts
- 401k
- Annual Bonus Program
- Equity Program, varied for retail, fulfillment and fully remote roles
Company Overview
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