Senior Platform Engineer, AI
- Toronto, ON, Canada
The salary range for this role is $120,000-$170,000 CAD, reflecting expected base pay. · Full-time
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Job details
- Pay
- The salary range for this role is $120,000-$170,000 CAD, reflecting expected base pay.
- Job type
- Full-time
- Posting language
- English
- Posted
Original 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?
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. 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.
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
- 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
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. 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.
More about this job
Responsibilities
The role involves building GenAI and agent orchestration components, developing APIs and services for AI platform capabilities, and implementing workflows and integrations. Additionally, the engineer will support observability and scalability of the platforms.
Requirements
Candidates should have strong distributed systems and platform engineering experience, along with hands-on experience with LLMs and GenAI systems. A deep knowledge of Azure, cloud-native architecture, and backend engineering in Python, TypeScript, or Go is also required.
Skills
- Distributed Systems
- Platform Engineering
- LLMs
- GenAI Systems
- Azure
- Cloud-Native Architecture
- Kubernetes
- Container Orchestration
- Backend Engineering
- Python
- TypeScript
- Go
Benefits
- Flexible Work Model
- Variable Bonus
- RRSP Contributions
- Paid Time Off
- Health Coverage
- Dental Coverage
- Mental Health Support
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Engineering
- Consulting
Keywords
- AI
- GenAI
- Agent-Based Architectures
- Orchestration
- Integration Layers
- Observability
- Scalability
- APIs
- Services
- Cloud
- Kubernetes
- Containerization
- Python
- TypeScript
- Go
- Vector Databases
- RAG Systems