QA Engineer Intern (6 months)

Shift Technology; Paris; Hybrid; EUR 14,000 - 19,000; Full time

Benefits offered by this job

Remote/hybrid options

Learning & development opportunities

Generous PTO and paid holidays

2 MAD Days per year

Competitive salary and incentives

Job summary

Shift Technology is seeking a QA Engineer Intern to join the QA Engineering Team in a hybrid setup. You will own end-to-end projects that replace manual QA tasks with intelligent tooling, delivering value used by engineers and QA leads daily.

Requirements include being in the final year of a Master 2 or engineering program, strong testing knowledge, Git, and REST APIs, plus a bonus for experience with LLMs, CI/CD, Docker/Kubernetes, and dashboards. February 2027 start.

Qualifications

• You are in your final year (BAC+5, Master 2 or engineering school) in Computer Science, Software Engineering, Data, or AI.
• 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; test automation (Playwright, Cypress); CI/CD (GitHub Actions, TeamCity); Docker/Kubernetes; SQL or lightweight dashboards.
• 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).

Responsibilities

• Own an end-to-end project that moves a QA bottleneck from manual effort to intelligent tooling.
• Build tools the QA engineering teams use daily, not a proof of concept.
• Examples include AI-driven release validation, functional coverage analysis, and synthetic data and environment provisioning.

Skills

Software testing fundamentals

Git

REST APIs

Autonomy

Ownership

English fluency

Education

Master 2 / Engineering school (CS/AI)

Tools

Playwright

Cypress

GitHub Actions

TeamCity

Docker

Kubernetes

Streamlit

React

FastAPI

Job description

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

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

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.

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 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)

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.

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Multiple Learning and Development opportunities, including Focus Fridays, a half‑day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• 2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non‑merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email [e-mail] and we will work with you to meet your accessibility needs.

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We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.