# Staff AI Engineer at Moxie

- Company: Moxie
- What the company does: Moxie empowers individual entrepreneurs in launching, running, and growing their own independent MedSpas. The company helps clients thrive by providing the tools and expertise normally reserved only for the big chains. Backed by SignalFire.
- Company website: https://joinmoxie.com
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - Global
- Work setup: Remote
- Pay: $97K to $170K base salary per year (USD)
- Posted: 2026-11-03
- Apply by: 2026-12-18
- Apply: https://jobs.ashbyhq.com/Moxie/6cbe045b-a4be-45d8-9293-8ad31ec37352?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/moxie-staff-ai-engineer/

## About 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. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Staff-level engineering experience. You've led large, ambiguous initiatives as a hands-on IC, owning delivery, tradeoffs, and major architectural decisions across teams
- Production LLM experience. You've led the design and delivery of LLM agents or generative features that real customers depend on, not just prototypes or internal tools
- Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and worked with Product, Design, and engineering leadership to resolve complex decisions and raise the technical bar
- AI evaluation and quality engineering. You've built evaluation systems for production AI, combining automated tests, agent traces, human feedback, and production monitoring to measure quality, catch regressions, and continuously improve reliability
- Sound agent and tool design. You know when to use deterministic code versus an LLM, design safe tool boundaries and human handoffs, and manage reliability, security, latency, and cost tradeoffs. You make pragmatic build-versus-buy and model-provider decisions
- Strong backend and platform engineering. You're comfortable with Python and Django, Postgres, Redis, async workers, and REST or GraphQL, and can design shared AI infrastructure with clear contracts, caching, and tenant isolation

Tags: Moxie

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/moxie-staff-ai-engineer/