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AI Engineer/Ingénieur; e en intelligence artificielle
Job Description & How to Apply Below
Location: Montreal
About KPI Digital Solutions
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. 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, unrivaled 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), Dev Ops pipelines, and Azure cloud services. You are a proactive and autonomous professional 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 Dev Ops/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 Dev Ops 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, Tensor Flow, Hugging Face)
Proven experience working with LLMs, NLP pipelines, and prompt engineering techniques
Deep understanding of Dev Ops 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
Benefits
The opportunity to join and grow an ever‑expanding professional network of high‑profile clients and reputable colleagues.
Permanent, full‑time job (40 hours a week).
Hybrid (work from home and/or office) and flexible schedule.
Competitive salary and bonus structure.
Attractive group insurance plan.
Retirement savings plan with matching.
Family company culture.
Flex‑Fridays in the summer.
Free use of the gym within…
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