Staff AI Engineer
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Job Description
Staff AI Engineer leading production LLM initiatives for Moxie’s platform supporting aesthetic practices. Owning AI architecture, evaluation, reliability, and shared infrastructure.
Responsibilities:
- Lead high-impact AI projects including Maia, the Context Engine, and AI drafts
- Provide technical leadership across the company and own and validate major architectural decisions
- Contribute to production AI systems and identify improvement opportunities
- Deliver targeted fixes for AI failure modes, evaluation coverage, and production reliability
- Lead AI initiatives from design and architecture review through cross-functional collaboration and launch
- Build evaluation and guardrail systems for reliable AI operation
- Lead technical proposals through review, approval, and implementation
- Establish measurable AI quality scorecards, regression detection, shared evaluations, guardrails, and observability
- Own organization-level technical initiatives such as AI evaluation standards, agentic SDLC improvements, code review practices, and documentation culture
- Collaborate daily with Product, Design, QA, Operations, and engineering peers
Requirements:
- Staff-level engineering experience leading large, ambiguous initiatives as a hands-on IC
- Experience owning delivery, tradeoffs, and major architectural decisions across teams
- Production experience designing and delivering LLM agents or generative features used by real customers
- Experience improving engineering practices and influencing peers across teams
- Experience working with Product, Design, and engineering leadership on complex decisions
- Experience building production AI evaluation systems using automated tests, agent traces, human feedback, and production monitoring
- Knowledge of deterministic code versus LLM usage, safe tool boundaries, human handoffs, reliability, security, latency, and cost tradeoffs
- Experience making build-versus-buy and model-provider decisions
- Proficiency with Python and Django, Postgres, Redis, async workers, and REST or GraphQL
- Ability to design shared AI infrastructure with clear contracts, caching, and tenant isolation
- Candidates based in Brazil, Canada, Chile, Colombia, or the Dominican Republic
- Must answer application questions about LLM-powered systems and use of AI tools
- Visa sponsorship question for work in the United States
Benefits:
- Competitive salary
- Remote work
- High-trust, high-ownership IC work at staff level
- A say in the AI roadmap and in how Moxie builds AI
- Inclusive workplace
- Interview accommodations available upon request
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