QA Engineer Intern (6 months)

Shift Technology :

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to detect fraud, assess risk, and recommend actions throughout the claims process. Our teams tackle complex data challenges and bring advanced models into production at scale, giving insurers deeper insights into their data while helping their customers get paid faster and enjoy a smoother claims experience. Our technology is adopted and trusted by the world’s leading insurers.

The QA Engineering Team 🧪:

The Quality Assurance team, part of Engineering, makes sure that Shift can ship fast and safely. Our AI-driven software is deployed for insurers worldwide, across many multi-tenant environments, and we use Generative AI, LLM agents, and modern automation to solve quality challenges at this scale. Here are just a few of the areas we work on:

• Release validation: risk-based testing and delivery automation;
• Automated regression suites and test automation;
• Functional test coverage and test gap analysis;
• Test data generation and test environment provisioning;
• AI-powered QA tooling, built with LLMs and agents, that engineers and QA leads use every day

Working with Engineering teams and QA leads, we replace manual QA effort with intelligent tooling, and we measure the time it saves.

Your key responsibilities🧑‍💻:

You’ll own an end-to-end project that moves a real QA bottleneck from manual effort to intelligent tooling. You will build something the QA engineering teams use in their day-to-day work, not a proof of concept that stays on a shelf. Your subject will be defined with you during the selection process, within one of these example missions:

• AI-driven release validation: build a “release copilot” that analyzes release tickets and code changes to compute risk scores and generate risk-based test plans. It also helps run bug bash sessions (scope, assignment, triage, duplicate detection) and drafts test reports and release notes.
• Functional coverage and test gap analysis: use code intelligence and LLMs to detect shipped features, feature flags, and endpoints, map them against environment configurations and automated regression suites, and show untested areas in a live coverage dashboard.
• Synthetic test data and environment provisioning: design a data generation and seeding pipeline (CLI / API) that produces realistic, deterministic, and privacy-compliant datasets, so teams can provision and reset test environments on demand, integrated into CI/CD.

Along the way, you’ll learn how QA, Engineering, and Product work together to ship AI software to insurers around the world. Your project will go beyond a prototype: you will validate it on real releases, hand it over with documentation, and present the results to leadership.

• Your profile and requirements✅:

• You are currently in your final year (BAC+5, Master 2 or engineering school) in Computer Science, Software Engineering, Data, or AI.
• You have solid programming skills in Python, TypeScript/JavaScript, or C#.
• You have a good grasp of software testing fundamentals, Git, and REST APIs.
• You are autonomous and rigorous, with a strong sense of ownership.
• Nice to have: hands-on experience with LLMs, prompt engineering, or agent frameworks (LangChain, Copilot, OpenAI/Claude APIs); test automation (Playwright, Cypress); CI/CD (GitHub Actions, TeamCity); Docker/Kubernetes; SQL or lightweight dashboards (Streamlit, React, FastAPI).
• You can provide a 6-month internship agreement (Convention de stage) signed by your school/university, starting around February 2027
• Language requirements: English is mandatory at a fluent level (French is a plus).

Why join Shift Technology as a QA Engineer Intern?

🤸‍♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (65% of staff are in tech roles) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.

💶Your commitment, our investment : 1500€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min)
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address.