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AI Verse genera conjuntos de imágenes sintéticas anotadas para entrenar modelos de visión artificial. Las organizaciones los utilizan para simular escenarios difíciles de recopilar, costosos de anotar o sensibles.

Datos sobre AI Verse
Sector
Software e Internet
Modelo
B2B
Tipo de empresa
Financiada con capital riesgo
Fase
Scale-up
Sede
Biot
Dominio oficial
ai-verse.com
Fundación
2020 · 6 años
Plantilla publicada
24 empleados
Última ronda
Early stage · 2026-01-19
Importe anunciado
5 000 000 €
Ofertas abiertas
1

Inversores mencionados

Detalles de la oferta

La descripción completa publicada por AI Verse.

Ver la oferta original ↗

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

Requisitos

  • automatización de pruebas
  • framework de pruebas
  • pruebas web E2E
  • pruebas de API
  • Metodologías ágiles
  • habilidades de comunicación

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