Senior Full-Stack / AI Platform Engineer

Intuitive; Sunnyvale (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Intuitive is building a new AI-powered platform to support how our teams work day to day, blending a modern web app, cloud-native backend services, and generative AI to make information easier to find, questions easier to answer, and repetitive work easier to automate.

We are looking for a senior full-stack engineer to help build this platform from the ground up, working across the entire stack and partnering closely with the business teams who will use it every day.

Responsibilities

• Design, build, and maintain both the frontend and backend of a new internal platform, from early prototypes through production
• Build and maintain integrations between the platform and its underlying cloud and AI infrastructure
• Partner directly with the business teams who will use the platform, translating their day-to-day workflows into working software
• Implement secure authentication, access control, and data governance appropriate for sensitive business data
• Help define and improve engineering practices — testing, CI/CD, deployment, and observability — as the platform matures
• Iterate quickly based on real usage and feedback, balancing speed with reliability

Job description

Job Description

Intuitive is building a new AI-powered platform to support how our teams work day to day — combining a
modern web application, cloud-native backend services, and generative AI to make information easier to
find, questions easier to answer, and repetitive work easier to automate.
We're looking for a senior full-stack engineer to help build this platform from the ground up, working across
the entire stack and partnering closely with the business teams who will use it every day. This is a hands-on
role for someone who wants to help shape a new product from its earliest stages — from architecture
decisions through to what the end user actually sees and uses.

What You’ll Do

• Design, build, and maintain both the frontend and backend of a new internal platform, from early prototypes through production
• Build and maintain integrations between the platform and its underlying cloud and AI infrastructure
• Partner directly with the business teams who will use the platform, translating their day-to-day workflows into working software
• Implement secure authentication, access control, and data governance appropriate for sensitive business data
• Help define and improve engineering practices — testing, CI/CD, deployment, and observability — as the platform matures
• Iterate quickly based on real usage and feedback, balancing speed with reliability