AI Verse generates annotated synthetic image datasets for training computer vision models. Organisations use them to simulate scenarios that are difficult to collect, costly to annotate or sensitive.
Software Quality Engineer / QA (Python / Test Automation)
AI Verse recherche un Software Quality Engineer / QA pour garantir la qualité de sa plateforme web et de son moteur de rendu 3D. Le poste porte notamment sur l’automatisation des tests en Python, les tests E2E avec Cypress ou Playwright et l’intégration aux pipelines CI/CD.
Information about AI Verse
- Sector
- Software and internet
- Model
- B2B
- Company type
- Venture-backed
- Stage
- Scale-up
- Headquarters
- Biot
- Official domain
- ai-verse.com
- Founded
- 2020 · 6 years
- Published headcount
- 24 employees
- Latest funding round
- Early stage · 2026-01-19
- Amount announced
- 5 000 000 €
- Open jobs
- 1
Investors mentioned
Job details
The full description published by AI Verse.
About Us
At AI Verse, we are developing groundbreaking technology to train Deep Learning networks and build the next generation of vision-based applications.
Job Description
About AI Verse
At AI Verse, we are developing breakthrough technologies to train Deep Learning networks and create the next generation of vision-based applications. Our focus is on merging synthetic data generation with real-world data to enable the next leap in AI-driven visual understanding
About the Role
We are looking for a Software Quality Engineer (QA) with strong expertise in test automation and a passion for building reliable, high-performance systems.
You will work on a complex and exciting product, ensuring the robustness of our web platform (Node.js / React) and, most importantly, validating the accuracy and reliability of our 3D rendering engine built on Unreal Engine. Your mission is to make sure every release of our software is stable, performant, and meets the highest quality standards.
Responsibilities
Develop and maintain an automated testing framework for our image generation engine using Python to script validation scenarios, analyze results, and produce non-regression reports.
Define and implement a global testing strategy across all products, in close collaboration with development teams.
Design and execute manual testing campaigns (exploratory, functional) for our web platform, identifying opportunities for automation.
Develop end-to-end (E2E) automated tests for the web interface using tools such as Cypress or Playwright.
Thoroughly validate the installation and update process of our on-premises product to ensure a seamless customer experience.
Identify, document, and track issues rigorously using Jira, maintaining clear and constructive communication with the development team in an Agile environment.
Contribute to our Confluence knowledge base by documenting testing processes and use cases.
Integrate automated test suites into our CI/CD pipelines (GitLab CI).
Requirements
Solid experience in software QA, with proven expertise in test automation.
Strong command of Python and its ecosystem for scripting and testing.
Ability to design and maintain a testing framework from scratch.
Hands-on experience with web E2E testing frameworks (Cypress, Playwright, or Selenium) is a major plus.
Meticulous, curious, and analytical mindset, capable of uncovering the most elusive bugs.
Familiar with Jira, Confluence, and Agile methodologies (Scrum / Kanban).
Excellent communication skills and a constructive, collaborative approach.
Nice to Have
Experience with API testing (Postman, Pytest, etc.).
Familiarity with CI/CD tools such as GitLab CI.
Interest in 3D rendering, image generation, or artificial intelligence.
Technical Stack & Tools
Languages: Python (primary), JavaScript / TypeScript, Shell
Test Frameworks: Pytest, Cypress / Playwright
CI/CD: GitLab CI, Docker
Collaboration: Jira, Confluence
Methodology: Agile
Environments: Linux, Windows, Virtualization (VMs)
I'm interested
Requirements
- test automation
- testing framework
- web E2E testing
- API testing
- Agile methodologies
- communication skills
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