Software Engineer (AI Platform)

Notion

United States

On-site

USD 180,000 - 201,000

Full time

14 days+

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Job summary

Notion is seeking an experienced engineering leader to join the AI Platform team in San Francisco or New York City. You will prototype, develop, and scale core AI primitives while partnering with product teams to ship features quickly with guardrails and reliability.

You will operate critical AI systems in production, monitor behavior, optimize latency and cost, and guide safe adoption of new models and tools with clear reliability gates.

Qualifications

  • Experience building AI platforms and core AI primitives at scale.
  • Experience collaborating with product teams to ship features quickly while maintaining reliability.
  • Familiarity with observability, latency, cost tradeoffs, and production readiness.

Responsibilities

  • Own and scale systems and core AI platform primitives for Notion's AI stack.
  • Partner with product teams to provide production-ready guardrails and reduced duplication.
  • Work across infrastructure, libraries, APIs, and product integration points to maximize adoption and leverage of AI capabilities.
  • Operate critical AI systems in production, using observability and diagnostics to improve performance and cost.
  • Support safe adoption of new models/providers with versioning and controlled rollouts.

Skills

AI systems
Software Engineer experience
Applied AI
Data pipelines
TypeScript
Node.js
MLOps

Tools

Apache Spark
TypeScript
Node.js
MLOps

Job description

About the Role:

Millions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.

The AI Platform team is responsible for building the shared foundations that let Notion ship AI products quickly and operate them safely at scale. You’ll join a team of talented engineers focused on making speed and quality compatible: reliability and availability through provider changes, quality and correctness systems like evals and release gates, observability that makes failures explainable, and shared primitives for model integrations, context management, long-running actions, and cost/performance tradeoffs. Notion’s AI platform is vital to helping product teams move faster with production‑grade guardrails as models, providers, and AI capabilities rapidly evolve.

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 Achieve:
  • You’ll own and play a pivotal role in the prototyping, development and scaling of systems and core AI platform primitives.

  • You’ll partner closely with product teams to provide paved paths and production‑ready guardrails that help new AI features ship faster with less duplicated work.

  • You’ll work across infrastructure, shared libraries, APIs, and product integration points to make AI platform capabilities easy to adopt and high-leverage across Notion.

  • You’ll operate critical AI systems in production, using observability and diagnostics to understand provider/model behavior, debug failures, improve latency and cost, and evolve systems with minimal user disruption.

  • You’ll help Notion safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates.

Skills You’ll Need to Bring:
  • Passion for AI systems at scale: You’ve worked on LLM, ML platform, data, or infrastructure teams that own critical shared systems. You understand the challenges of scaling reliability, latency, cost, and quality as usage and model complexity grow. You care deeply about building platforms that are dependable, efficient, and easy for other engineers to use.

  • Adaptable and curious: You like going deep on how systems behave in practice, especially when models, providers, and product requirements are changing quickly. You’re eager to use AI tools to work smarter and are willing to move across backend, infrastructure, libraries, and product code when that’s what the problem requires.

  • Extreme ownership: You’re comfortable working across ambiguous problem spaces, aligning stakeholders around a clear path forward, and driving execution with accountability. You take ownership of platform outcomes including reliability, quality, adoption, and operational follow‑through beyond team boundaries.

  • Thoughtful problem-solving: For you, problem‑solving starts with a clear and accurate understanding of the context. You can decompose ambiguous system behavior, debug across layers, and work toward clean, pragmatic solutions by yourself or with teammates. You’re comfortable asking for help when you get stuck.

  • Pragmatic and business‑oriented: You understand that AI platform work is full of tradeoffs across quality, latency, cost, reliability, and speed of execution. You prioritize based on product and business impact, balancing craft with urgency and operational simplicity.

Nice to Haves:
  • 2-4 years of experience as a Software Engineer

  • Experience with applied AI product development (prompting, evals, model integrations, or quality measurement).

  • You’ve built out and scaled data processing pipelines at scale with Apache Spark or Ray.

  • You’ve had experience working full‑stack in Typscript and node.js ecosystem

  • You have experience building MLOps and ML serving infrastructure.

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 or New York City, the estimated base salary range for this role is $180,000 - $201,000 per year.

A Note on AI

You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity & Accommodations

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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