AI Platform Engineer: Build & Deploy Scalable AI

Urban Ridge Supplies; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Sagard is pursuing an AI-first strategy; the AI Builder / Forward Deployed Engineer will collaborate with investment, finance, compliance and operations to uncover high-value AI opportunities and rapidly prototype AI-enabled solutions. This is a full-stack engineering role focused on data pipelines and system integrations across the firm.

The role emphasizes production-quality data workflows, secure access controls, and scalable AI deployments, including RAG pipelines and LLM integration for

Qualifications

• Bachelor's degree in CS, Engineering or related field, or equivalent.
• 2-5 years in software engineering with end-to-end production ownership.
• Strong full-stack fundamentals -- backend, databases, REST, async, cloud.
• Experience building data pipelines and system integrations in production.
• Practical experience with LLM-based systems in production -- including RAG pipelines.
• Curious, self-directed, able to work with non-technical stakeholders and move fast.
• Preferred: experience in financial services or asset management.

Responsibilities

• Partner with business units across investment, finance, compliance and operations to understand operational problems, scope technical solutions, and rapidly prototype and iterate based on real-world feedback.
• Design and build data pipelines that move, transform, and prepare data from internal systems for use in AI and analytics workflows.
• Own end-to-end integrations between internal platforms and third-party APIs, including authentication, error handling, and ongoing maintenance.
• Contribute to foundational infrastructure decisions -- data storage, service architecture, deployment patterns -- as the firm's data and AI platform matures.
• Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale.
• Ensure solutions meet production standards for security, access controls, responsible AI usage, and ongoing maintainability.

Skills

Full-stack engineering

Data pipelines

LLM-based systems

REST APIs

Cloud deployment

Cross-functional collaboration

Ownership of production systems

Education

Bachelor's degree in Computer Science or Engineering or related field

Job description

Sagard is pursuing an AI-first strategy; the AI Builder / Forward Deployed Engineer will collaborate with investment, finance, compliance and operations to uncover high-value AI opportunities and rapidly prototype AI-enabled solutions. This is a full-stack engineering role focused on data pipelines and system integrations across the firm.

The role emphasizes production-quality data workflows, secure access controls, and scalable AI deployments, including RAG pipelines and LLM integration for