Vacation days plus 6 personal days per year.

À Propos De KPI Chez KPI, vous aurez la chance de bâtir une carrière aussi unique que vous, dans une culture inclusive avec la technologie et le soutien nécessaires pour devenir la meilleure version de vous‐même. Votre voix et votre perspective uniques nous aideront à faire évoluer KPI encore davantage.

About KPI At KPI, you'll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help KPI become even better, too. At KPI, our vision is to advance the world through the power of people and technology.

Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivalled expertise, and breadth of services to do what matters for our clients and their customers. Join a team that is immersed in a high-tech and very dynamic environment where projects and workdays are never the same.

About The Role We are seeking an AI Engineer with deep technical expertise and a passion for cutting‐edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics team, you will design, build, evaluate, and optimize AI solutions with a strong focus on Large Language Models (LLMs), DevOps pipelines, and Azure cloud services. You are a proactive and autonomous qualified who thrives in a fast‐paced consulting environment and is capable of delivering end‐to‐end AI‐driven solutions.

Key Responsibilities

Design, develop, and deploy AI models and services, with a focus on LLMs and generative AI technologies

Evaluate the quality, performance, and ethical alignment of LLM outputs across business use cases

Develop and implement scalable AI workflows using Python, ML libraries, and Azure Machine Learning

Collaborate with cross‐functional teams to integrate AI models into client applications and platforms





Apply DevOps/MLOps practices for continuous integration, automated testing, and model deployment

Lead technical discussions with clients and internal stakeholders in both French and English

Maintain high standards of code quality, performance, and documentation

Stay up to date with the latest trends and advancements in AI, machine learning, and cloud services

Proficient in end‐to‐end software development with the ability to autonomously architect, code, test, and deploy scalable applications, ensuring alignment with system requirements and DevOps best practices.

Strong proficiency in SQL is required, with the ability to write complex queries, optimize database performance, and manage relational data across large‐scale systems.

Required Skills And Qualifications

7+ years of experience in software development or AI engineering roles

Strong programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)

Proven experience working with LLMs, NLP pipelines, and prompt engineering techniques

Deep understanding of DevOps or MLOps pipelines (CI/CD, version control, containerization, etc.)

Experience with cloud infrastructure (preferably Azure) and AI‐related services

Strong ability to independently manage and deliver projects from concept to production

Demonstrated capacity to critically assess model outputs, including bias, hallucination, and relevance

Bilingual proficiency in French and English (oral and written) is required

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Preferred Qualifications

Experience in AI consulting or client‐facing environments

Knowledge of ethical AI practices and model governance

Familiarity with REST APIs, front‐end integration, and data visualization tools

Azure certification (e.g., Azure AI Engineer Associate or Azure Data Scientist)

Why Join Us

Work on high-impact projects that shape the future of AI in business

Collaborate with top-tier professionals in an innovation‐driven team

Access to continuous learning and career growth opportunities

📌 AI Engineer/Ingénieur(e) en intelligence artificielle (Montreal)
🏢 KPI Mining Solutions
📍 Montreal