Artificial Intelligence Engineer

precision-ai; Calgary; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Precision AI, based in Calgary, is seeking an AI Engineer to contribute to the design, development, and deployment of AI-driven solutions. The role focuses on building, training, and optimizing models, supporting AI projects from experimentation through production, and maintaining high technical quality.

The position is hybrid, based in Calgary with three days per week at Precision AI’s headquarters, collaborating with Senior AI Engineers and cross-functional partners.

Qualifications

• Bachelor's or master's degree in computer science, computer engineering, statistics, or mathematics.
• 4+ years of AI/ML design, training, and deployment experience.

Responsibilities

• Plan, design, and oversee AI/ML projects from concept to deployment.
• Build, train, evaluate, and optimize models across NLP, CV, and multimodal domains.
• Write clean, well-documented code; practice CI/CD and testing.
• Mentor junior engineers and promote knowledge sharing.
• Design and manage scalable AWS-based data and ML infrastructure.
• Communicate progress and results within the team and with partners.

Skills

Python programming

AI/ML model deployment

CI/CD

Docker

Kubernetes

REST/GraphQL APIs

Mentoring

AWS

Data lakes

Education

Bachelor's or master's in CS/CE/Statistics/Math

Tools

PyTorch

TensorFlow

Hugging Face

Git

Job description

Role Overview

The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, andoptimizingmachine learning models, supporting AI projects from experimentation through production, andmaintaininghigh standardsof technical quality.

Working closely with Senior AI Engineers and cross-functional partners, the AI Engineer will help implement AI solutions that address real-world problems. This role offers the opportunity to grow technicalexpertisewhile collaborating within a fast-paced, research-driven environment.

This hybrid role is based in Calgary and will work from Precision AI’s headquarters 3 days a week.

Key Responsibilities

AI Project Leadership

• Plan, design, and oversee AI/ML projects from concept to deployment.
• Define milestones, monitor progress, and ensure timely delivery.

Model Development & Innovation

• Build, train, evaluate, andoptimizemachine learning models across natural language processing, computer vision, and multimodal domains, including LLMs, VLMs, and vision-specific models (e.g., CNNs,ViTs, diffusion-based models).
• Apply a range of techniques such as transfer learning, parameter-efficient fine-tuning, prompt engineering, knowledge distillation, multimodal fusion, and efficient inference methods (quantization, pruning, model compression).
• Work with recent large language models and reasoning-oriented models, applying techniques such as supervised fine-tuning, structured prompting, retrieval-augmented generation (RAG).
• Read and experiment with recent technologies and research papers; evaluate applicability to projects.

Programming Excellence

• Apply strong foundations in data structures, algorithms, object-oriented programming, and software design patterns to build reliable AI systems.
• Write clean, maintainable, and well-documented code following established team standards. Practice unit/integration testing, CI/CD pipelines, and version control (Git/GitHub).
• Leverage containerization and orchestration tools such as Docker and Kubernetes for reproducible development and deployment.
• Design and consume APIs (REST/GraphQL) for integrating AI models into larger systems.

Mentorship & Team Development

• Guide junior engineers through technical challenges and project progress.
• Promote knowledge sharing through code reviews, workshops, and documentation.

Cloud Infrastructure & Data Systems

• Design and manage scalable solutions on AWS,leveragingcloud-native tools and best practices.
• Work with large-scaledatalakearchitectures to support data-driven applications.
• Assistin monitoring andmaintainingdeployed models and services.

Technical Communication and Partner Management

• Communicate technical progress, challenges, and results clearly within the team.
• Contribute to internal documentation and project updates

Relevant Experience

• 4+ years of experience in AI/ML model design, training, and deployment in production environments.
• Provenexpertisein building andoptimizingmodels, including LLMs, VLMs, and other deep learning architectures.
• Exposure to transfer learning, self-supervised learning, multimodal AIsystemsand domain generalization.
• Knowledge of retrieval-augmented generation (RAG), diffusion models, or othercutting-edgeML techniques.
• Strong programming skills in Python with solid knowledge of data structures, algorithms, and software engineering best practices.
• Hands-on experience with large-scaledatalakearchitectures and distributed data processing
• Experience with modern ML frameworks (e.g.,PyTorch, TensorFlow, Hugging Face) andMLOpspractices (CI/CD, experiment tracking, reproducibility).
• Strong communication, documentation, and presentation skills, withthe abilityto work across teams and with external partners.
• Ability to stay current with emerging AI research and assess applicability of new methods to real-world problems.

Education Requirements

• Bachelor's or master'sdegree in computer science, computer engineering, statistics, or mathematics