Senior Full-Stack / AI Platform Engineer
About The Position
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.
Requirements
- 6+ years of professional software engineering experience, with real production ownership across both frontend and backend systems
- Strong Python skills, with hands-on experience in FastAPI or a comparable async Python web framework
- Strong React + TypeScript experience
- Experience integrating LLM/AI APIs into production applications — agentic or tool-calling patterns are a strong plus
- Experience with a major cloud provider (Azure preferred; AWS/GCP experience with a willingness to go deep on Azure also considered)
- Experience with OAuth 2.0 / OIDC authentication flows
- Comfort working directly with non-technical business stakeholders to shape product requirements from ambiguous starting points
- Experience with CI/CD pipelines and containerized deployments
Nice To Haves
- Experience with agent frameworks or tool-calling protocols (e.g., MCP)
- Experience with background job processing and Redis (or similar)
- Experience building products in a regulated or data-sensitive industry (healthcare, financial services, or similar)
- Experience with enterprise document platforms (Box, SharePoint, or similar)
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
Benefits
- Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
