AI Fullstack Engineer- IND

Insight Global
Arden Hills, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Arden Hills, United States of America

Tech stack

Java
.NET
API
Artificial Intelligence
Application Layers
User Authentication
Azure
Data Integration
Python
Node.js
Azure
Service-Oriented Architecture
Web Application Frameworks
React
Backend
Angular
Data Analytics
Front End Software Development
Serverless Computing

Job description

The AI Fullstack Engineer will deliver end-to-end functionality for an AI-driven initiative that connects product complaint data with enterprise risk management documentation. This role will build and enhance the application layers that ingest complaint data, apply AI-generated analysis, and surface mapped insights showing how real-world issues align to established product risk profiles. The engineer will develop cloud-based backend services, APIs, and data integrations, as well as intuitive user interfaces that enable quality, safety, and risk teams to review trends, assess compliance, and take action.

Through this work, the AI Fullstack Engineer will help establish a continuous feedback loop between post-market field data and risk assessments, ensuring safety thresholds remain aligned with real-world product performance. The solutions delivered will strengthen regulatory compliance, improve traceability between complaints and risk documentation, and support more proactive, data-driven decision-making across quality and safety organizations.

Requirements

5+ years of professional experience as a Fullstack Developer building production applications

-Strong hands-on experience with Microsoft Azure (App Services, Azure Functions, APIs, storage, authentication, etc.)

-Solid backend development experience (e.g., .NET, Java, Node.js, or Python) with API and service-oriented architectures

-Frontend development experience with modern frameworks (React, Angular, or similar)

-Experience working on cloud-based or AI-adjacent products, including integration with AI/ML services or data-driven platforms

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