AI/ML Engineer
- AB, Canada
- Edmonton, AB, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 3-5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
- Posting language
- English
- Posted
Original job description
Position Summary
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.
The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.
Key Responsibilities
Qualifications
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.
The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.
Key Responsibilities
- Design and develop AI applications, LLM-powered solutions, RAG systems and AI agents
- Build intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sources
- Liaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applications
- Develop and evaluate machine learning models for forecasting, classification, prediction and other business use cases
- Deploy, monitor and maintain AI applications and models in production environments
- Implement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainability
- Evaluate AI solution quality, performance, accuracy, cost and scalability
- Apply security, privacy, access control and responsible AI principles in accordance with enterprise policies
- Liaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutions
- Analytical thinking and problem-solving
- Strong software engineering and technical design skills
- Business-oriented approach to solution development
- Effective communication and collaboration
- Attention to security, quality and maintainability
- Adaptability and continuous learning
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience
- 3-5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
- Strong programming skills in Python and working knowledge of SQL
- Practical experience with LLMs, AI APIs, prompt engineering and RAG concepts
- Experience with APIs, data integration, data preparation and software development practices
- Familiarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services
- Understanding of deployment practices, automated testing, version control and MLOps
- Knowledge of AI evaluation, data privacy, application security and responsible AI principles
- Legally eligible to work in Canada
- Experience with AI frameworks such as LangChain, LlamaIndex or Semantic Kernel
- Familiarity with vector databases, embeddings, semantic search and AI agent orchestration
- Experience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systems
- Exposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines
- Relevant cloud, AI or machine learning certifications
- Kubernetes and infrastructure-as-code (Terraform)
- Fine-tuning and LLM evaluation frameworks
- Experience in a regulated enterprise setting
- Extended Healthcare Plan (Medical, Disability, Dental & Vision)
- Group RRSP
- Group Life - AD&D - Critical Illness Insurance
- Training & Development
- Employee Assistance Program - Counseling
- Paid Time Off
More about this job
Responsibilities
Design, develop, integrate, and deploy AI and machine learning solutions, including LLM applications, RAG systems, AI agents, automated workflows, and predictive models. Maintain production solutions through testing, monitoring, MLOps, security, performance evaluation, documentation, and collaboration with business, data, development, and IT teams.
Requirements
A bachelor's degree in computer science, software engineering, artificial intelligence, data science, or a related field - or equivalent practical experience - is required, along with 3–5 years of relevant experience. Candidates need strong Python skills, working knowledge of SQL, practical experience with LLMs, AI APIs, prompt engineering and RAG, and familiarity with cloud AI platforms, software development, deployment, testing, MLOps, privacy, and responsible AI.
Skills
- Python
- SQL
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- Prompt Engineering
- Machine Learning
- AI Agents
- API Integration
- Data Preparation
- Microsoft Azure
- MLOps
- CI/CD
- AI Evaluation
- Application Security
- Responsible AI
Benefits
- Extended Healthcare Plan
- Group RRSP
- Group Life, AD&D, and Critical Illness Insurance
- Training and Development
- Employee Assistance Program
- Paid Time Off
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- Python
- SQL
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- AI Agents
- Prompt Engineering
- Machine Learning
- Predictive Analytics
- Workflow Automation
- Microsoft Azure
- Azure OpenAI
- Azure AI Foundry
- Azure Machine Learning
- Microsoft Power Platform
- LangChain
- LlamaIndex
- Semantic Kernel
- Vector Databases
- Embeddings
- Semantic Search
- MLOps
- CI/CD
- Docker
- Kubernetes
- Terraform
- Data Pipelines
- API Integration
- Responsible AI