Software Engineer, AI Platform

United States Digital Space LLC; United States; Hybrid; USD 180,000 - 201,000; Full time

Job summary

Notion is seeking an AI Platform Engineer to join our team and help build shared foundations for shipping AI products quickly and safely. You’ll collaborate with product teams to enable fast feature releases, while maintaining reliability and cost discipline across the platform.

You will work on production-grade guardrails, observability, and integrations, enabling teams to deploy models and providers responsibly as notional AI capabilities evolve.

Qualifications

• 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 past experience working full-stack in TypeScript and node.js ecosystem.
• You have experience building MLOps and ML serving infrastructure.

Responsibilities

• Own and scale systems and core AI platform primitives from prototyping to production.
• Partner with product teams to provide paved paths and production-ready guardrails for faster AI features.
• Collaborate across infrastructure, libraries, APIs and product integration points for easy adoption.
• Operate critical AI systems in production, using observability to debug failures, improve latency and cost.
• Help the company safely adopt new models and capabilities via versioning, rollouts, and quality gates.

Skills

Software engineering

Applied AI

Spark/Ray pipelines

TypeScript/Node.js

MLOps / ML serving

Job description

Who We AreNotion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on the company.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

About the Role

Millions of people use the company — 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 the company.

The AI Platform team is responsible for building the shared foundations that let the company 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. the company’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 the company.
• 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 the company safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates.

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 past experience working full-stack in Typscript and node.js ecosystem
• You have experience building MLOps and ML serving infrastructure.

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.

the company 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.

Equal Opportunity & AccommodationsWe 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. the company 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. the company provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

the company 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. the company considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. the company 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.

A Note on AIYou 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.