11 дней назад
QA Engineer Intern (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
QA Engineer Intern (AI) (Python/TypeScript/LLM): Building production QA tooling for AI software, including release validation, functional coverage analysis, and synthetic test data pipelines with an accent on intelligent automation, test reliability, and privacy-compliant environments. Focus on designing end-to-end tools integrated with CI/CD, validating them on real releases, and presenting measurable results to engineering leadership.
Location: Paris, France; hybrid working model
Internship gratification: €1,500 gross monthly
Company
provides an AI-powered SaaS platform for insurers, combining generative, agentic, and predictive AI to detect fraud, assess risk, and improve claims processing.
What you will do
- Own a six-month end-to-end project that replaces a manual QA bottleneck with production-ready intelligent tooling.
- Build an AI-driven release validation copilot for risk scoring, test planning, bug-bash coordination, and release documentation.
- Develop functional coverage and test gap analysis using code intelligence, LLMs, feature flags, endpoints, environments, and regression suites.
- Design synthetic test-data generation and seeding pipelines with CLI or API interfaces for deterministic, privacy-compliant environment provisioning.
- Validate the solution on real releases, integrate it into engineering workflows, document the results, and present outcomes to leadership.
Requirements
- Currently completing a final-year BAC+5, Master 2, or engineering-school program in Computer Science, Software Engineering, Data, or AI.
- Solid programming skills in Python, TypeScript/JavaScript, or C#.
- Knowledge of software testing fundamentals, Git, and REST APIs.
- Autonomous and rigorous approach with a strong sense of ownership.
- Fluent English is mandatory. French is a plus.
- Must provide a six-month internship agreement signed by a school or university, starting around February 2027.
Nice to have
- Experience with LLMs, prompt engineering, or agent frameworks such as LangChain, Copilot, and OpenAI or Claude APIs.
- Test automation experience with Playwright or Cypress.
- CI/CD experience with GitHub Actions or TeamCity.
- Docker, Kubernetes, SQL, Streamlit, React, or FastAPI experience.
Culture & Benefits
- Flexible, autonomous, horizontal working environment with reduced line management.
- Hands-on training, workshops, and learning opportunities with experienced AI research teams.
- Regular reviews and feedback sessions with a dedicated HR partner.
- International English-speaking environment with colleagues from more than 50 nationalities.
- Flexible remote and hybrid working options, learning opportunities, paid holidays, mental health benefits, and paid volunteering days.
Hiring process
- 30-minute Talent Acquisition interview.
- 60-minute technical interview.
- 60-minute hiring manager interview.
- The process typically takes two to three weeks.
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