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About the role

  • 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.

Responsibilities

  • 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

  • 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

  • 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

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$120,000 - CA$150,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudGoogle Cloud PlatformPython

Location requirements

RemoteCanada

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