RAVL

Principal Platform Engineer, AI at RAVL (Toronto, Canada)

RAVL· Toronto, Canada·

Role details

Work type
Hybrid
Employment
Full-Time

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.

What does success look like in this role?

  • 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

Great, do my skills fit?

  • 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)

Nice to have skills

  • LangGraph or similar frameworks
  • Vector databases / RAG systems

Mindset Traits

  • Forward-thinking and deeply technical
  • Strong ownership and leadership
  • Balances innovation with production rigor

Why join RAVL?

  • 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

Compensation & hiring process

We are recruiting for a future opportunity. The salary range for this role is $120,000–$170,000 CAD, reflecting expected base pay. Total compensation may also include additional pay such as bonuses or incentives, depending on the position, and final offers are based on experience, skills, and qualifications. As part of our hiring process we may use technology, including AI-based tools, to help summarize and assess applications; these tools assist our team and do not replace human review or decision-making.

Equal Opportunity & Accessibility

RAVL is an equal opportunity employer committed to building a diverse, inclusive, and accessible workplace. We welcome applications from all qualified individuals and provide accommodations throughout the hiring process upon request.

Why work at RAVL

  • Culture: Rated 4.8/5.0 overall on employer review platforms — with Culture at 4.9, Career Development at 4.8, Work-Life Balance at 4.6, and Compensation at 4.6
  • Work model: Hybrid workspace (combination of remote and on-site work) at the Toronto HQ
  • Growth environment: 45.9% YoY headcount growth, 22 open positions, and heavy investment in mentorship and hands-on learning journeys (BuildX)
  • Engineering-led: Technical staff make up ~46% of the workforce — engineers are core to the business, not an adjunct
  • Compensation benchmarks (publicly listed salaries): Associate Engineer ~CAD 54,691/year; Consultant ~CAD 120,749/year; Principal Consultant ~CAD 223,802/year
  • Notable perk: AI tools are used to support parts of the hiring process (resume review, response analysis), yet final decisions are human-driven — reflecting their AI-first but human-judgment approach
  • Impact: Opportunity to work on mission-critical modernization and AI transformation projects for North America's leading financial institutions

Application questions