Quick overview
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
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