Senior Platform Engineer, AI

RAVL; Toronto; On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Variable bonus

RRSP contributions

4 weeks paid time off

Paid professional development days

Comprehensive health & dental coverage

Job summary

RAVL is looking for an AI Platform Engineer to develop GenAI systems and APIs for their clients. This role emphasizes strong engineering skills in distributed systems and cloud architectures, primarily on Azure.

The ideal candidate will possess hands-on experience with GenAI along with a robust background in backend engineering. Competitive compensation of CAD 120,000 to CAD 170,000 reflects both experience and skills, complemented by bonuses and benefits.

Qualifications

• Experience in building GenAI and orchestration components.
• Developing APIs and services for AI platform capabilities.
• Strong ownership and innovation mindset.

Responsibilities

• Build GenAI and agent orchestration components.
• Develop APIs and services for AI platform capabilities.
• Implement workflows and integrations.
• Support observability and scalability.

Skills

Distributed systems engineering

LLMs / GenAI systems

Azure architecture

Kubernetes

Backend engineering (Python/TypeScript/Go)

Tools

LangGraph or similar frameworks

Vector databases / RAG systems

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?

• Build GenAI and agent orchestration components
• Develop APIs and services for AI platform capabilities
• Implement workflows and integrations
• Support observability and scalability

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.