Accountabilities:
Design, develop, and deploy scalable AI and machine learning architectures that support business objectives and long-term technology strategy.
Build, train, optimize, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms.
Develop LLM-powered applications, intelligent agents, and AI-driven automation workflows using modern orchestration frameworks.
Evaluate and implement emerging AI technologies, including large language models, embeddings, vector databases, and prompt engineering techniques.
Define AI architecture standards, model governance practices, and scalable deployment strategies in collaboration with technical leadership.
Design highly available, secure, and scalable AI solutions across cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Collaborate with business stakeholders to translate strategic objectives into practical AI engineering initiatives.
Produce technical documentation, architecture diagrams, deployment guides, and operational playbooks.
Participate in code reviews, mentor engineers, and promote engineering best practices and innovation across the team.
Stay current with advancements in AI frameworks, tools, and industry trends to continuously improve products and development processes.
Requirements:
10+ years of professional software development experience.
Minimum of 3 years of experience designing or building AI and machine learning solutions.
Strong programming skills in Python, C#, or comparable modern programming languages.
Hands-on experience with large language models (LLMs), vector databases, embeddings, prompt engineering, and AI orchestration frameworks.
Familiarity with AI and ML ecosystems such as OpenAI, Anthropic, Hugging Face, LangChain, Semantic Kernel, or similar technologies.
Experience developing AI-powered applications, APIs, data pipelines, and inference services.
Strong understanding of cloud platforms, including Microsoft Azure, AWS, or Google Cloud Platform.
Excellent analytical, problem-solving, communication, and collaboration skills.
Ability to balance hands-on engineering with architectural design and strategic technical planning.
Passion for emerging AI technologies and continuous learning.
Must reside in Canada and be legally authorized to work in Canada.
Benefits:
Competitive annual salary of CAD $180,000–$200,000 .
Comprehensive group benefits package, including health, dental, vision, disability, and life insurance.
Employee group savings program.
Employee Assistance Program (EAP) and mental health support resources.
Fully remote work opportunities within Canada.
Ongoing learning, training, and professional development opportunities.
Opportunity to collaborate with experienced technology leaders and AI specialists.
Supportive and collaborative team culture focused on innovation, integrity, and continuous improvement.
Long-term career growth opportunities within an expanding organization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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