AI Engineer/Ingénieur(e) en intelligence artificielle in Montréal

AI Engineer/Ingénieur(e) en intelligence artificielle in Montréal

Montréal Full-Time 90000 - 110000 $ / year (est.) Hybrid
K

At a Glance

  • Tasks: Design and develop cutting-edge AI solutions with a focus on Large Language Models.
  • Company: Join KPI, a Canadian leader in Data, Analytics & AI with an inclusive culture.
  • Benefits: Enjoy competitive salary, flexible hours, gym access, and generous vacation days.
  • Other info: Dynamic work environment with endless learning and career growth opportunities.
  • Why this job: Shape the future of AI while collaborating with top-tier professionals.
  • Qualifications: 7+ years in software development or AI engineering, strong Python skills required.

The predicted salary is between 90000 - 110000 $ per year.

Vacation days plus 6 personal days per year.

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.

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 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 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.

Benefits

  • The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
  • Permanently, 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 building.
  • Subsidized catering service & free snacks at the office.
  • Casual work environment: jeans-friendly!

Proudly a Great Place to Work! As you bring your experience and skills to KPI Digital, you’ll get a unique experience, ambitious growth, and limitless learning in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.

AI Engineer/Ingénieur(e) en intelligence artificielle in Montréal employer: KPI Digital Solutions

At KPI, we pride ourselves on fostering an inclusive and dynamic work culture that empowers our employees to thrive. As a Senior Manager – Consultant, you'll enjoy a competitive salary, flexible work arrangements, and the chance to engage with high-profile clients while contributing to impactful data and AI initiatives. With a strong emphasis on professional growth and a family-oriented atmosphere, KPI is dedicated to helping you become the best version of yourself in a supportive environment.

K

Contact Details:

KPI Digital Solutions Recruitment Team

We think you need these skills to ace AI Engineer/Ingénieur(e) en intelligence artificielle in Montréal

Python
Machine Learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
Large Language Models (LLMs)
Natural Language Processing (NLP) pipelines
Prompt engineering techniques
DevOps/MLOps practices
Continuous Integration/Continuous Deployment (CI/CD)