Senior AI Software Engineer building agentic AI harnesses for Kinaxis’s Databricks - based enterprise data fabric. Enabling secure, governed workflows across GCP and Azure.
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
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