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Prompt Engineering Jobs in Quebec (NOW HIRING)

Xsolla

AI Engineer (Infrastructure team)

Montreal, QC · On-site +1

Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and prompt engineering for operational use cases * Strong problem-solving mindset with a bias toward automation and eliminating toil * Fluent ...

Maarut

Generative AI and NLP (fine\-tuning, prompt engineering, model integration) \n * Python (required), R (an asset) \n * Experience with Databricks (AI\/ML context - an asset) \n * Experience with ...

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

You have hands-on experience designing and implementing modern AI systems, including LLM-based applications, prompt engineering, and retrieval-based systems. You understand how to evaluate and ...

Jay Analytix

QA Lead - Capital Markets

Montreal, QC · On-site

Halifax or Montreal AI Systems and Models Testing Design and execute comprehensive test strategies for AI systems and models, including prompt engineering, output evaluation, and bias/safety testing.

GC Brieau

Developpeur IA

Sherbrooke, QC

Experience avec les LLM et le prompt engineering. * Bonne connaissance des APIs (REST,GraphQL). * Connaissance des bases de donnees vectorielles, de la recherche semantique et des techniques RAG (ex.

Kyndryl

Data & AI Architect

Montreal, QC · On-site

CA$118K - CA$168K/yr

LLM integration, RAG, vector databases (e.g., Pinecone, FAISS), prompt engineering. * MLOps/LLMOps frameworks: MLflow, Kubeflow, or similar. * Strong foundation in data architecture, governance, and ...

Nakisa

Product Manager - AI

Montreal, QC · Hybrid

Technical understanding of AI, prompt engineering, and product feedback. * Conceptual understanding of data flows, structure, and quality in AI products, enabling informed trade-offs, prioritization ...

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Prompt Engineering information

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are the most commonly searched types of Prompt Engineering jobs in Quebec? The most popular types of Prompt Engineering jobs in Quebec are:
What job categories do people searching Prompt Engineering jobs in Quebec look for? The top searched job categories for Prompt Engineering jobs in Quebec are:
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Quebec as of May 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 67% In-person, 25% Hybrid, and 8% Remote job distribution.
AI Engineer (Infrastructure team)

AI Engineer (Infrastructure team)

Xsolla

Montreal, QC • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 15 days ago

Job description

ABOUT YOU

We are seeking a hands-on and forward-thinking AI Engineer to help build and operate the intelligent systems that power Xsolla's infrastructure. As part of our Infrastructure Team, you will implement AI-driven solutions across cloud optimization, security, automation, and developer support - helping us shift from manual and reactive operations to predictive, self-optimizing infrastructure management.

The ideal candidate brings solid infrastructure engineering experience combined with practical knowledge of AI/ML integration. You are comfortable working with LLMs, ML pipelines, and AI automation frameworks, and you know how to apply them to real operational problems at scale. You thrive in environments that require both technical depth and the ability to experiment, iterate, and deliver.

If you're passionate about using AI to transform how infrastructure is built and operated - and want to be part of a team that is driving that transformation at a global gaming company - we'd love to hear from you.

ABOUT US

Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.

For more information, visit xsolla.com.

Responsibilities:
  • Design and implement AI/ML-powered solutions for infrastructure use cases, including predictive autoscaling, anomaly detection, intelligent cost optimization, and automated remediation across GCP and multi-cloud environments
  • Build and maintain AI-driven monitoring and observability systems that correlate logs, metrics, and traces to surface root causes, predict bottlenecks, and reduce mean time to resolution (MTTR)
  • Develop and operate automated incident response workflows using AI-powered playbooks that diagnose, contain, and resolve infrastructure issues with minimal manual intervention
  • Integrate AI tooling into CI/CD pipelines to improve deployment reliability, automate test prediction, score release health, and support rollback automation
  • Contribute to the development of internal AI agents and virtual assistants integrated into developer workflows (Slack, IDEs, Confluence) - enabling self-service for provisioning, troubleshooting, and infrastructure guidance
  • Implement AI/ML-based anomaly detection and automated vulnerability management workflows to enhance the security posture of Xsolla's infrastructure
  • Prototype and productionize Generative AI solutions for infrastructure automation, including auto-generation of Terraform/Puppet modules, IaC configurations, runbooks, and change documentation
  • Collaborate with senior engineers and leadership to evolve and execute the infrastructure AI strategy across its implementation phases
  • Maintain clear documentation of AI tools, integrations, and automated workflows; share knowledge and best practices across the team
Qualifications:
  • 5-7 years of experience in infrastructure engineering, DevOps, SRE, or a related field
  • Hands-on experience with GCP (priority) and/or AWS; solid understanding of cloud resource management, scaling, and cost structures
  • Practical experience building or integrating AI/ML-powered tools in an operational context (anomaly detection, predictive models, LLM-based automation, or similar)
  • Experience with infrastructure-as-code tools - Terraform, Puppet, Ansible, or equivalent
  • Proficiency in Python for scripting, automation, and AI/ML integration; Bash or Go a plus
  • Working knowledge of Kubernetes and container orchestration in production environments
  • Familiarity with observability and monitoring stacks (Prometheus, Grafana, ELK, Datadog, or similar)
  • Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and prompt engineering for operational use cases
  • Strong problem-solving mindset with a bias toward automation and eliminating toil
  • Fluent in English (written and verbal)
Nice To Have:
  • Experience with AI workflow orchestration frameworks (LangChain, LlamaIndex, n8n, or similar)
  • Exposure to AIOps platforms (Dynatrace, Datadog AI, Moogsoft, BigPanda, or similar)
  • Background in FinOps or AI-driven cloud cost optimization
  • Familiarity with vector databases (Weaviate, Pinecone, Qdrant) for knowledge retrieval systems
  • Experience with VMware or hybrid cloud environments
  • GCP and/or AWS cloud certifications
  • Prior experience in gaming, high-growth tech, or SaaS platform environments
  • The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth
$120,000 - $160,000 a year

Note

This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.

Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. 

 
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the AI Infrastructure Engineer, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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