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notion

AI Applications Engineer

San Francisco, California (Remote)fulltimemid

About this role

Notion seeks an AI Applications Engineer to build and scale AI-driven solutions for internal business teams (GTM, Finance, People). You'll own end-to-end AI projects from problem discovery through production deployment, while creating reusable frameworks and guardrails for sustainable AI delivery across the organization.

What you'll do

  • Partner with GTM, Finance, and People teams to identify AI opportunities and translate them into scoped, measurable solutions
  • Build and deploy complete AI applications including data preparation, modeling, evaluation, and production rollout
  • Establish evaluation metrics, monitoring systems, and human-in-the-loop patterns for reliable scaled AI solutions
  • Create reusable components, tooling, templates, and playbooks to accelerate future AI projects
  • Navigate integration with enterprise systems (CRM, finance, ticketing, HRIS) to deliver reliable outcomes
  • Ensure security, privacy, and governance compliance for AI systems including access controls and auditability

What they're looking for

  • 4-8 years software or data engineering with production system experience
  • Production AI/ML development with LLMs, prompt orchestration, retrieval, and evaluation
  • Production-readiness practices: observability, monitoring, incident response, safe rollouts
  • API and data pipeline integration across enterprise tools
  • AI-assisted development tools (Cursor, Claude, etc.)
  • Security, privacy, and AI governance fundamentals
  • Clear communication across technical and business stakeholders
  • Problem-solving in ambiguous, complex domains

Benefits

  • Highly competitive base salary ($152,000-$250,000 for San Francisco)
  • Equity compensation
  • Comprehensive benefits package
  • Hybrid work model with in-office days (Monday, Tuesday, Thursday)
  • Opportunity to shape AI strategy at a major collaborative platform
  • Cross-functional collaboration with GTM, Finance, and People teams
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