AI/ML Engineer

Java-Holdings; Edmonton; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Extended Healthcare Plan (Medical, Dis

Group RRSP

Group Life - AD&D - Critical Illl?

Training & Development

Employee Assistance Program - Counse l

Paid Time Off

Job summary

Java-Holdings in Edmonton, Canada seeks an AI/ML Engineer to design, develop, integrate and deploy AI solutions that boost business processes and decision-making across the enterprise. The role emphasizes generative AI, LLMs, RAG and production AI operations with Microsoft technologies, third-party platforms and open-source tools.

You will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions, building data pipelines, validating

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, AI, Data Science or related field or equivalent practical experience.
• 3–5 years of software engineering, AI/ML engineering or applied AI development.
• Strong programming skills in Python and working knowledge of SQL.
• 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.

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

Skills

Python programming

LLMs & RAG

APIs integration

Data pipeline design

MLOps practices

Security & privacy

Education

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field

Tools

Python

SQL

Azure

Azure OpenAI

LangChain

Kubernetes

CI/CD

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

• 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

Key Competencies

• 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

Nice to have

• 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