AI Engineer

Experior Financial Group

AI Engineer building intelligent systems and data-driven insights for Experior Financial Group Inc. Collaborating with technical leaders to deploy robust AI architectures and mentor junior developers.

Posted 6/14/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$120,000 - CA$150,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Collaborate with the CTO, AI consultant, and development team to design and deploy robust, scalable AI/ML architectures
Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms
Experiment with new LLMs, embeddings, vector databases, and orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar)
Lead hands-on development/ prototyping of LLM-based applications, intelligent agents, and automation workflows
Define AI architecture standards, establish model governance, and contribute to the long-term AI strategy in collaboration with the CTO
Partner with business and technical leaders to translate strategic AI goals into actionable engineering initiatives
Design systems for high availability, scalability, and efficient deployment in cloud environments (Azure, AWS, or GCP)
Create technical documentation, architecture diagrams, and playbooks for deployment and scaling of AI solutions
Participate in code reviews, mentor junior developers, and foster a culture of innovation and excellence in AI engineering
Stay at the forefront of emerging AI frameworks, APIs, and tools, bringing forward practical innovations to enhance products and systems

Requirements

What you’ll need

5+ years of professional software development experience required
3+ years of building or designing AI/ML systems is required
Proficiency in Python, C#, or similar programming languages
Hands-on experience with LLMs, vector databases, embeddings, and prompt orchestration
Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel, etc.) and cloud ecosystems (Azure AI, AWS SageMaker, GCP Vertex AI)
Experience developing and integrating data pipelines, APIs, and AI inference service
Strong analytical thinking, communication, and collaboration skills
Ability to balance hands-on technical work with high-level system design and strategic planning
Curiosity and drive to stay ahead of emerging AI tools, frameworks, and trends
Must reside and be authorized to work in Canada

Benefits

Comp & perks

Competitive compensation
Comprehensive total rewards package
Employee group savings program
Group benefits coverage (health, vision, dental, disability, and life insurance)
Access to mental health supports and Employee Assistance Program
Ongoing training and development to help you grow your skills
Opportunity to work alongside experienced industry professionals and leaders
Collaborative, supportive team environment where contributions are recognized and valued
Culture built on integrity, respect, and continuous improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML architecturesAI modelsdata pipelinesAPIsPythonC#LLMsvector databasesembeddingsorchestration frameworks

Soft Skills

analytical thinkingcommunicationcollaborationmentoringinnovationstrategic planningcuriosityleadership