Staff AI Engineer: Production AI Platform Lead

Moxie; United States; Remote; USD 180,000 - 270,000; Full time

Benefits offered by this job

Competitive salary

Job summary

Moxie, a remote-first company supporting 700+ aesthetic practices, seeks a Staff AI Engineer to lead high-impact AI projects and own major architectural decisions for our AI platform. You will work with product, design, QA, and operations to ship production-ready AI features and improve reliability for real patients and providers.

Ideal candidates have staff-level experience, have led production LLM efforts, and can set engineering standards across teams while shaping the AI roadmap and shared

Qualifications

• Led large, ambiguous AI initiatives as an IC with architectural ownership.
• Been responsible for production-grade LLM features used by customers.
• Demonstrated technical leadership and high engineering standards across teams.
• Built evaluation systems for production AI with monitoring and guardrails.
• Designed safe tool boundaries for agent-based AI and built reliable infra.

Responsibilities

• Own major AI architecture decisions and drive platform-level initiatives.
• Lead design-to-production AI projects with cross-functional teams.
• Improve AI quality, reliability, and observability with measurable metrics.
• Shape organization-wide AI evaluation standards and SDLC improvements.
• Balance build vs. buy decisions and manage latency, security, cost.

Skills

Staff-level IC

Production LLM

Technical leadership

AI evaluation

Tool design

Backend & platform

Tools

Python

Django

Postgres

Redis

Job description

Moxie, a remote-first company supporting 700+ aesthetic practices, seeks a Staff AI Engineer to lead high-impact AI projects and own major architectural decisions for our AI platform. You will work with product, design, QA, and operations to ship production-ready AI features and improve reliability for real patients and providers.

Ideal candidates have staff-level experience, have led production LLM efforts, and can set engineering standards across teams while shaping the AI roadmap and shared