Staff AI Engineer

This is a fully remote position, open to applicants in Brazil, +4 more countries.

📋 Description

• Spearhead impactful AI initiatives, including Maia, the Context Engine, and AI drafts.

• Provide technical guidance throughout the organization, taking ownership of key architectural choices.

• Contribute to the development of production AI systems and pinpoint areas for enhancement.

• Implement targeted solutions for AI failure modes, ensuring comprehensive evaluation and production reliability.

• Oversee AI projects from design and architectural reviews to cross-functional collaboration and launch.

• Develop evaluation and guardrail systems to ensure dependable AI operations.

• Guide technical proposals through the processes of review, approval, and execution.

• Create measurable AI quality scorecards, regression detection measures, shared evaluations, guardrails, and observability tools.

• Lead organization-wide technical initiatives, including AI evaluation standards, agentic SDLC advancements, code review practices, and fostering a culture of documentation.

• Collaborate on a daily basis with teams in Product, Design, QA, Operations, and engineering.

⛳️ Requirements

• Extensive engineering experience at a staff level, leading large and complex initiatives as a hands-on individual contributor.

• Proven track record of owning project delivery, making trade-offs, and driving major architectural decisions across teams.

• Experience in designing and delivering production LLM agents or generative features that serve real customers.

• Ability to enhance engineering practices and influence peers across multiple teams.

• Experience collaborating with Product, Design, and engineering leadership on intricate decision-making processes.

• Background in developing production AI evaluation systems utilizing automated tests, agent traces, human feedback, and production monitoring.

• Understanding of deterministic code versus LLM utilization, safe tool boundaries, human handoffs, reliability, security, latency, and cost considerations.

• Experience in making build-versus-buy and model-provider decisions.

• Proficient in Python and Django, with experience in Postgres, Redis, async workers, and REST or GraphQL.

• Capability to design shared AI infrastructure with well-defined contracts, caching, and tenant isolation principles.

• Candidates should be located in Brazil, Canada, Chile, Colombia, or the Dominican Republic.

• Must respond to application questions regarding LLM-powered systems and AI tool utilization.

• Visa sponsorship inquiry for employment in the United States.

🏝️ Benefits

• Competitive salary.

• Remote work opportunities.

• High-trust, high-ownership individual contributor work at the staff level.

• Influence over the AI roadmap and the direction of AI development at Moxie.

• Commitment to an inclusive workplace.

• Interview accommodations available upon request.