AI Applications Engineer

AI Applications EngineerWe're looking for an AI Applications Engineer to help drive Notion's business transformation efforts. In this role, you'll be a strategic partner to our internal stakeholders (primarily GTM, Finance and People teams) and deliver and scale creative AI-driven solutions to multi-faceted problems with measurable business impact. You'll also build reusable components, evaluation patterns, and operational guardrails that make AI delivery repeatable across teams.This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.What You'll AchieveWork with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoptionBuild and ship end-to-end AI solutions—from problem framing through data readiness, modeling, evaluation, and production rolloutEstablish evaluation and production-readiness patterns (metrics, monitoring, human-in-the-loop, rollout plans) so solutions are reliable at scaleCreate reusable components, tooling, templates, and playbooks that accelerate future projects and enable other teams to ship safelySkills You'll Need To Bring4-8 years of experience as a Software Engineer or Data Engineer (or equivalent), with a track record of building and operating production systems end-to-end across application code, data, and infrastructure. Domain experience partnering with GTM and Finance is a plus.Experience building AI-enabled applications in production (LLMs and/or classical ML), including prompt + tool orchestration, retrieval, evaluation, and iteration based on real-world feedback.Strong production-readiness instincts, including observability, monitoring, quality gates, incident response, and safe rollouts/rollbacks in live business workflows.Systems and integration fluency across APIs, data pipelines, and enterprise tools (e.g., CRM, finance, ticketing, HRIS), with the ability to navigate messy systems and still deliver reliable outcomes.Impact-driven approach to technology: You use technology to drive measurable user and business outcomes, not as an end in itself. You stay current with tools like Cursor, Claude Code, and other AI-assisted development environments, and you're pragmatic about choosing what delivers the most value.Thoughtful problem-solving: You start with a clear understanding of context, align technical and non-technical partners, and translate AI concepts into actionable business outcomes. You navigate ambiguity and decompose complex problems into clean solutions.Empathetic communication and collaboration: You communicate nuanced ideas clearly and enjoy collaborating across engineering, data, and business teams.Familiarity with security, privacy, and governance for AI (access controls, PII handling, vendor/tool risk, auditability).Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $152,000 - $250,000 per year.