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Generative Ai Testing Jobs in Quebec (NOW HIRING)

Bentley Systems

Senior Product Manager

Quebec, QC

... 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

... 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 ...

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 ...

SDA

SAP BTP Developer/ Dveloppeur SAP BTP

Montreal, QC · On-site

... testing, and deploying solutions with the SAP BTP. * Familiarity with SAP Cloud, HANA, and other SAP cloud platforms. * Proven experience in developing solutions using Python and Generative AI.

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Generative Ai Testing information

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 much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

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 salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

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.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.
SAP BTP Full Stack Developer - Developpeur Full Stack SAP BTP

SAP BTP Full Stack Developer - Developpeur Full Stack SAP BTP

SDA

Montreal, QC • On-site, Remote

Full-time

Posted 17 days ago

Job description

About SDA

At SDA, we specialize in helping enterprises unlock the full value of theSAP 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 anexperienced SAP BTP Developerto 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).
  • UseNode.js, Java, or Pythonto build BTP services/microservices.
  • Write reusable code, perform code reviews, and maintain documentation.
  • Monitor application health and debug complex issues across environments.
  • Work withSAP UI5 developersto 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 withSAP BTP (Cloud Foundry/Kyma, CAP, BTP services).
    • Solid experience withNode.js, Java/orPython is an important asset.
  • Familiar withSAP HANA,SAP Cloud Connector, andBTP 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 FRANCAIS


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

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

Nous sommes une equipe ambitieuse, agile et guidee par nos valeurs, engagee envers l'excellence, l'integrite et la reussite de nos clients.


Le poste

Nous recherchons undeveloppeur SAP BTP experimentepour rejoindre notre equipe et contribuer a la mise en uvre des dernieres technologies SAP. Le candidat ideal doit posseder une solide expertise technique, etre capable de diagnostiquer et de resoudre des problemes complexes, et etre pret a travailler en collaboration pour developper et livrer des solutions de qualite.


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


Responsabilites

  • Developper de nouvelles solutions techniques et maintenir les solutions existantes dans un contexte d'integration sur laSAP Business Technology Platform (BTP).
  • UtiliserNode.js,JavaouPythonpour creer des services/microservices sur BTP.
  • Ecrire du code reutilisable, effectuer des revues de code et maintenir la documentation.
  • Surveiller la sante des applications et deboguer des problemes complexes a travers differents environnements.
  • Collaborer avec les developpeursSAP UI5pour connecter les composants frontend et backend.
  • Creer et executer des tests unitaires ou collaborer avec l'equipe QA sur les strategies de tests unitaires et d'integration.
  • Participer aux decisions d'architecture et proposer des ameliorations.


Profil recherche

  • Diplome eninformatique, eningenierieou experience equivalente.
  • 7 ans ou plusd'experience en developpement backend, dont :
    • 2 ans minimumd'experience pratique avecSAP BTP(Cloud Foundry/Kyma, CAP, services BTP).
  • Maitrise deNode.js,Javaet/ouPython(un atout majeur).
  • Connaissance deSAP HANA,SAP Cloud Connector, et de lasecurite BTP(OAuth2).
  • Experience avec le controle de version (Git), l'integration/deploiement continu (CI/CD) et la conteneurisation (Docker,Kubernetesest un plus).
  • Solides competences endebogageetoptimisation des performancesdans des systemes distribues.
  • Une experience avec l'IAou l'IA generativeest un atout important.
  • Capacite a travailler de facon autonome tout en collaborant efficacement en equipe.
  • Excellentes competences encommunication en anglais, a l'ecrit comme a l'oral.
  • Laconnaissance du francaisest un atout.
  • Une experience avecSAP Build(SAP Build Process Automation, LowCode/NoCode), lescapacites IA SAPetIntegration Suiteest egalement un atout.


Faites le premier pas vers votre nouvelle carriere en visitant notre site web et en postulant des aujourd'hui!

Plateforme de croissance professionnelle et d'innovation | Opportunites de carriere et avantages competitifs - SDA - System Design Analysis (SDA)

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