AI Engineer

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Experior Financial Group

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💸 Finance

👥 B2C

Finance • B2C

Experior Financial Group is a Canadian managing general agency and financial services company that connects licensed associates with clients to provide insurance and investment solutions. The company offers life, health, travel, critical illness, disability, and funeral insurance, along with investment products such as segregated funds, RRSPs, RRIFs, and TFSAs, and retirement planning services. Experior operates a unique “Tri‑Brid” MGA model, proprietary Experior Financial Analysis (EFA) software and a CRM for agents, and recruits and trains associates across Canada and the USA.

📋 Description

• 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