Notion
AI Applications Engineer
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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Notion
Notion builds an AI-powered collaborative workspace platform used by millions for productivity, featuring capabilities like search, automations, and AI-assisted features. The company is hiring software engineers for core product and AI development, technical support engineers for enterprise customers, data platform engineers for foundational systems, and security engineers for infrastructure and AI safety initiatives.
- Website
- notion.so
Likely interview questions
- Walk us through a production AI system you built end-to-end. How did you handle evaluation, monitoring, and rollout, and what would you do differently?
- Describe a time you worked with ambiguous requirements from non-technical stakeholders (GTM, Finance, or similar). How did you scope the problem and measure success?