RAVL Logo

RAVL

Senior Platform Engineer, AI

Reposted 2 Months Ago
Hybrid
Toronto, ON, CAN
Senior level
Hybrid
Toronto, ON, CAN
Senior level
The Senior Platform Engineer will build AI systems, develop APIs, support scalability, and integrate AI capabilities for financial services clients.
The summary above was generated by 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 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.

HQ

RAVL Toronto, Ontario, CAN Office

Toronto, Ontario, Canada

Similar Jobs

10 Days Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Software
Build and operate scalable AI platform services, internal APIs, and production workflows integrating LLMs and AI tools. Own reliability through observability, alerting, incident response, performance tuning, cost optimization, capacity planning, CI/CD, and infrastructure improvements. The role requires Python backend development, distributed systems, asynchronous processing, cloud infrastructure, infrastructure as code, and cross-layer experience spanning services, data, infrastructure, and AI tooling.
Top Skills: AWSAzureCi/CdGCPLlmsPulumiPythonTerraform
22 Days Ago
In-Office or Remote
CA
Senior level
Senior level
Artificial Intelligence • Software • Generative AI
Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.
Top Skills: APIsClaude CodeCloud ArchitectureCodexCursorGdprMulti-Tenant ArchitectureNext.JsObservabilityRbacReactSAMLSoc 2SsoStripe
One Month Ago
In-Office
Toronto, ON, CAN
Senior level
Senior level
Legal Tech
Design, build, and operate the AI platform powering conversational agents and large-scale document workflows. Own orchestration, retrieval, inference routing, observability, evaluation, and reliability for scalable, cost-sensitive LLM systems. Define APIs, data contracts, quality gates, and governance; optimize performance and cost; mentor engineers and lead technical decisions across distributed teams.
Top Skills: LangchainLangfuseLanggraphLlmMcpOcrOpentelemetryPostgresPythonReactRetrieval-Augmented Generation (Rag)TranscriptionTypescriptVector Databases

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account