Software Engineer, AI Workflows

About the role

We're looking for an AI Product Engineer to join the team responsible for Notion's Custom Agents. This role involves helping to define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's Custom Agents more intelligent, capable, and reliable at scale.

Responsibilities

• Work with the team to prototype and experiment with new AI features
• Productionize and scale asynchronous workflows across Notion’s systems
• Collaborate across AI, Infrastructure, and Product teams to deliver high-quality experiences for users
• Stay up-to-date with the latest AI technologies and trends

Requirements

To bring value to this role, you should have:

• Expertise building and prototyping: Experience building AI products using LLMs, embeddings, and other ML technologies; understanding of how parts of a system fit together from UI to data model; familiarity with relational databases like Postgres or MySQL; experience building products from ground up.
• Problem-solving: Approach problems holistically, starting with a clear and accurate understanding of the context; think critically about the implications of what you're building and how it will impact real people's lives; navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
• Empathetic communication and collaboration: Communicate nuanced ideas clearly, whether in writing or real-time brainstorming; engage thoughtfully with other perspectives and compromise when needed; enjoy collaborating with both fellow engineers and cross-functional partners.
• Lifelong learning and investment in both your own growth and the growth, learning, and development of your teammates.
• Impact-orientation and user focus: Care about business impact and prioritize projects accordingly; understand the balance between craft, speed, and the bottom line; think critically about the implications of what you're building, and how it shapes real people's lives; understand that reach comes with responsibility for our impact—good and bad; collaborate cross-functionally to accomplish shared goals.

Skills

• To bring value to this role, you should have:
• Expertise building and prototyping: Experience building AI products using LLMs, embeddings, and other ML technologies; understanding of how parts of a system fit together from UI to data model; familiarity with relational databases like Postgres or MySQL; experience building products from ground up.
• Problem-solving: Approach problems holistically, starting with a clear and accurate understanding of the context; think critically about the implications of what you're building and how it will impact real people's lives; navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
• Empathetic communication and collaboration: Communicate nuanced ideas clearly, whether in writing or real-time brainstorming; engage thoughtfully with other perspectives and compromise when needed; enjoy collaborating with both fellow engineers and cross-functional partners.
• Lifelong learning and investment in both your own growth and the growth, learning, and development of your teammates.
• Impact-orientation and user focus: Care about business impact and prioritize projects accordingly; understand the balance between craft, speed, and the bottom line; think critically about the implications of what you're building, and how it shapes real people's lives; understand that reach comes with responsibility for our impact—good and bad; collaborate cross-functionally to accomplish shared goals.

Nice to haves

• 10+ years shipping production software, with a strong track record of owning features end-to-end
• Proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres
• Experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals
• Have heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work
• Have interests outside of technology, such as in art, history, or social sciences