
Shift Technology
Shift Technology builds AI-driven software for insurers to detect fraud, improve claims handling, underwriting, and subrogation, and support payment integrity. Its products are delivered as enterprise SaaS and data services to property and casualty and other insurance carriers. Founded in 2014 and headquartered in Paris, the privately held company serves global insurers and emphasizes explainable, industry-grade models integrated into core insurance workflows.
Open Positions at Shift Technology
6 open positions
QA Engineer Interns build and validate production-ready intelligent tooling that replaces manual quality assurance work across Shift Technology’s AI insurance platform. The six-month internship includes an end-to-end project in release validation, coverage analysis, or synthetic test data and environment provisioning.
Join Shift Technology as a six-month Full Stack Engineer Intern and own an internal tool that helps Data Scientists create and manage JSON configuration files. You’ll build the React front end and C# back end, collaborate across Product, UX, and Data Science, and take the project from discovery through deployment.
Join Shift Technology as a six-month Data & AI Engineer Intern and take an LLM-powered, agentic AI feature from exploration through production. Your work will improve fraud detection or payment integrity solutions used by insurers worldwide.
Staff AI Engineer responsible for architecting, building, and scaling production-grade agentic AI and LLM systems on Azure. The role combines hands-on coding with technical strategy, mentoring, and AI engineering standards.
Drive application security and DevSecOps across Shift’s software delivery lifecycle while serving as a first responder for security alerts and incidents. This role combines secure-by-design practices, automated security testing, vulnerability management, and hands-on security operations.
AI & Service Architect setting technical direction across three engineering squads while designing scalable Azure services, API platforms, and a sustainable framework for agentic AI capabilities. The role bridges engineering, data science, and infrastructure/security to modernize services and enable maintainable AI agents and chatbots.