[Hiring] Staff AI Engineer @Moxie

Role Description

We're looking for a Staff AI Engineer to lead some of Moxie's highest-impact AI projects in Q4 2026 and H1 2027, including Maia, the Context Engine, and AI drafts. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how Moxie builds, with particular responsibility for our AI systems and shared AI platform.

You'll join the Client Experience team and work day to day with Product, Design, QA, Operations, and your engineering peers. You'll inherit live LLM features and a growing shared platform underneath them, including customer-facing systems where quality is visible to patients and providers. The bar is production, not demos.

Our Objectives for the Role

• Become a primary IC on Moxie's AI initiatives.
• Within your first month you're contributing to production AI systems, understanding our architecture and key workflows, and identifying opportunities for improvement.
• By month three you're a leading technical contributor on one or more AI initiatives, including Maia, AI drafts, or the Context Engine.
• Ship early wins that improve AI quality and reliability.
• Within your first two months, deliver targeted fixes and improvements to known failure modes, evaluation coverage, or production reliability, with measurable evidence that they worked.
• Lead a major AI project from design to production.
• Take one meaningful AI initiative through design, architecture review, cross-functional collaboration, and launch, including the evaluation and guardrail systems needed to operate it reliably.
• By month six, lead a second, more ambitious initiative to a visible milestone or production-ready state.
• Shape architecture across the company.
• Within your first month, you're actively participating in architectural discussions and identifying opportunities to improve Moxie's systems.
• By month three, you're leading technical proposals, influencing major architectural decisions across teams, and taking designs from proposal through review, approval, and implementation, with particular ownership of our AI architecture and shared platform.
• Make AI quality measurable and scalable.
• Within six months, our AI features have measurable quality scorecards, regressions are caught before production, and the Context Engine is becoming the standard data path for AI surfaces, supported by shared evaluations, guardrails, and observability.
• Own non-project technical initiatives and engineering culture.
• Start owning at least one org-level initiative in your first three months (for example AI evaluation standards, agentic SDLC improvements, code review practices, or documentation culture).
• By month nine own one or two initiatives with measurable gains in quality or velocity, while shipping v1 of one or more key initiatives.

Qualifications

• Staff-level engineering experience.
• Production LLM experience.
• Technical leadership and engineering standards.
• AI evaluation and quality engineering.
• Sound agent and tool design.
• Strong backend and platform engineering.

Benefits

• Ship production AI that patients and medspa staff use every day.
• Breadth across several AI products and the shared platform underneath them, with real architectural influence as a decision-maker on the architecture review board.
• A proprietary data advantage.
• High-trust, high-ownership IC work at staff level, with a say in the AI roadmap and in how Moxie builds AI.
• Competitive salary.

Company Description

At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey.