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Principal Platform Engineer, AI

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI f

Job Full source details
Ravl Io Toronto Source published Sep 20, 2026 Verified 14 hours ago
✓ 100% verification score · Source: Ravl Io (lever) · Always confirm final requirements on the original source.
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EmploymentFull Time Permanent

Overview

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI f

Full job description

RAVL is a boutique technology advisory and engineering firm focused on the financial services industry. Everything we do is centered on helping our clients realize measurable ROI from their technology investments. We’re growing our engineering team and hiring AI Platform Engineers to build next-generation AI systems across clients. This includes developing GenAI platforms, enabling agent-based architectures, and designing scalable orchestration and integration layers for enterprise AI. These roles span both current initiatives and pipeline hiring, with a focus on building secure, scalable, and production-ready AI platforms.

Define architecture for GenAI and agent-based platforms

Build orchestration frameworks for agents, tools, and workflows

Design scalable APIs and platform abstractions for AI systems

Implement distributed systems using Kubernetes and cloud-native patterns

Establish observability, evaluation, and monitoring frameworks

Define best practices for LLM integration, prompt management, and workflows

Mentor engineers and lead technical direction

Strong distributed systems and platform engineering experience

Hands-on experience with LLMs / GenAI systems

Deep knowledge of Azure and cloud-native architecture

Kubernetes and container orchestration experience

Strong backend engineering (Python/TypeScript/Go)

LangGraph or similar frameworks

Vector databases / RAG systems

Forward-thinking and deeply technical

Strong ownership and leadership

Balances innovation with production rigor

Flexible, client-aligned work model — autonomy with accountability, adapting to client delivery needs

Variable bonus & RRSP contributions tied to performance and delivery impact.

4 weeks paid time off (plus public holidays)

Paid professional development days and continuous learning opportunities

Comprehensive health & dental coverage, including mental health support

Commitment to lifelong learning — continuous improvement through training, mentorship, and certification

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