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Generative Ai Testing Jobs in Quebec (NOW HIRING)

Bentley Systems

Senior Product Manager

Quebec, QC · On-site

... testing. * Maintain product direction and priorities aligned with the broader business goals ... Experience with AI-enhanced products including generative AI is preferred. * Knowledge of product ...

Bentley Systems

Senior Product Manager

Quebec, QC · On-site

... testing. * Maintain product direction and priorities aligned with the broader business goals ... Experience with AI-enhanced products including generative AI is preferred. * Knowledge of product ...

AspenTech

Sr Principal Developer

Montreal, QC · On-site

... generative AI) within the platform. * Ensure platform scalability and uptime for high-volume ... Automated testing frameworks: Playwright * Identity and access management: OAuth 2.0, Role-Based ...

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Generative Ai Testing information

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What are popular job titles related to Generative Ai Testing jobs in Quebec?

For Generative Ai Testing jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Quebec look for?

The top searched job categories for Generative Ai Testing jobs in Quebec are:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Quebec as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

SAP BTP Full Stack Developer - Développeur Full Stack SAP BTP

Montreal, QC • On-site

SDA
11 - 50 employees
Learn more about SDAexternal

Full-time

Re-posted 2 days ago

Key responsibilities

  • Develop new and maintain existing technical solutions in an integration context using the SAP Business Technology Platform (BTP).

  • Use Node.js, Java, or Python to build BTP services/microservices.

  • Write reusable code, perform code reviews, and maintain documentation.

Job description

About SDA

At SDA, we specialize in helping enterprises unlock the full value of the SAP Business Technology Platform (SAP BTP). We do this through two complementary pillars: 

  • Products: We design and deliver innovative, user-centric solutions on SAP BTP, available on the SAP Store and trusted by leading enterprises. 
  • Services: We provide SAP BTP consulting and advisory services, enabling clients to modernize their SAP landscapes, extend S/4HANA, and embrace clean core principles. 

We are a lean, ambitious, and values-driven team committed to excellence, integrity, and customer success.


The Role

We are seeking for an experienced SAP BTP Developer to join our team and help implement the latest SAP technology. The ideal candidate must have strong technical expertise, the ability to diagnose and troubleshoot complex issues, and be willing to work collaboratively to develop and deliver quality solutions.


Please note: We are looking for candidates with strong, hands-on experience and knowledge in Java/Node.js development, not just conceptual or high-level familiarity.


Responsibilities

  • Develop new and maintain existing technical solutions in an integration context using the SAP Business Technology Platform (BTP).
  • Use Node.js, Java, or Python to build BTP services/microservices.
  • Write reusable code, perform code reviews, and maintain documentation.
  • Monitor application health and debug complex issues across environments.
  • Work with SAP UI5 developers to connect frontend and backend components.
  • Create and execute unit tests or collaborate with QA on unit and integration testing strategies.
  • Participate in architecture decisions and propose improvements.


Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7+ years of backend development experience, including:
    • 2+ years hands-on with SAP BTP (Cloud Foundry/Kyma, CAP, BTP services).
    • Solid experience with Node.js, Java/or Python is an important asset.
  • Familiar with SAP HANA, SAP Cloud Connector, and BTP Security (OAuth2).
  • Experience with version control (Git), CI/CD, and containerization (Docker, K8s is a plus).
  • Strong debugging and performance tuning skills in distributed systems.
  • Experience with AI or Generative AI is a strong plus.
  • Ability to work both independently and as part of a team.
  • Excellent communication skills in English, both written and spoken. 
  • Knowing French is considered an asset. 
  • Experience with SAP Builds (SAP Build Process Automation, LowCode/NoCode), SAP AI Capabilies, Integration Suite is considered an asset. 


What We Offer

  • A unique opportunity to shape category-defining products in the SAP ecosystem.
  • A flexible, remote-first work culture focused on outcomes and ownership.
  • Collaboration with a high-performing, visionary team that values trust and transparency.
  • Opportunities for growth and leadership in a dynamic environment.
  • Competitive compensation and performance-based incentives.


Take the first step towards your new career by visiting our website and applying today!

Professional Growth and Innovation Opportunities | Competitive Benefits - SDA - System Design Analysis (SDA)


VERSION EN FRANÇAIS


SDA aide les entreprises à tirer le meilleur parti de la plateforme SAP Business Technology (SAP BTP). Nous le faisons à travers deux piliers complémentaires :

  • Produits : Nous concevons et livrons des solutions innovantes et centrées sur l’utilisateur, disponibles sur le SAP Store et approuvées par des entreprises de premier plan.
  • Services : Conseil et accompagnement pour moderniser les environnements SAP, étendre S/4HANA et appliquer les principes du clean core.

Nous sommes une équipe ambitieuse, agile et guidée par nos valeurs, engagée envers l’excellence, l’intégrité et la réussite de nos clients.


Le poste 

Nous recherchons un développeur SAP BTP expérimenté pour rejoindre notre équipe et contribuer à la mise en œuvre des dernières technologies SAP. Le candidat idéal doit posséder une solide expertise technique, être capable de diagnostiquer et de résoudre des problèmes complexes, et être prêt à travailler en collaboration pour développer et livrer des solutions de qualité.


Veuillez noter que nous recherchons des candidats ayant une solide expérience pratique en développement Java/Node.js et non simplement une connaissance théorique ou de haut niveau.


Responsabilités 

  • Développer de nouvelles solutions techniques et maintenir les solutions existantes dans un contexte d’intégration sur la SAP Business Technology Platform (BTP).
  • Utiliser Node.js, Java ou Python pour créer des services/microservices sur BTP.
  • Écrire du code réutilisable, effectuer des revues de code et maintenir la documentation.
  • Surveiller la santé des applications et déboguer des problèmes complexes à travers différents environnements.
  • Collaborer avec les développeurs SAP UI5 pour connecter les composants frontend et backend.
  • Créer et exécuter des tests unitaires ou collaborer avec l'équipe QA sur les stratégies de tests unitaires et d’intégration.
  • Participer aux décisions d'architecture et proposer des améliorations.


Profil recherché 

  • Diplôme en informatique, en ingénierie ou expérience équivalente.
  • 7 ans ou plus d'expérience en développement backend, dont :
    • 2 ans minimum d’expérience pratique avec SAP BTP (Cloud Foundry/Kyma, CAP, services BTP).
  • Maîtrise de Node.js, Java et/ou Python (un atout majeur).
  • Connaissance de SAP HANA, SAP Cloud Connector, et de la sécurité BTP (OAuth2).
  • Expérience avec le contrôle de version (Git), l'intégration/déploiement continu (CI/CD) et la conteneurisation (Docker, Kubernetes est un plus).
  • Solides compétences en débogage et optimisation des performances dans des systèmes distribués.
  • Une expérience avec l’IA ou l’IA générative est un atout important.
  • Capacité à travailler de façon autonome tout en collaborant efficacement en équipe.
  • Excellentes compétences en communication en anglais, à l’écrit comme à l’oral.
  • La connaissance du français est un atout.
  • Une expérience avec SAP Build (SAP Build Process Automation, LowCode/NoCode), les capacités IA SAP et Integration Suite est également un atout.


Faites le premier pas vers votre nouvelle carrière en visitant notre site web et en postulant dès aujourd’hui!

Plateforme de croissance professionnelle et d'innovation | Opportunités de carrière et avantages compétitifs - SDA - System Design Analysis (SDA)