Staff infrastructure engineer building Mercury’s fintech services platform, service ecosystem, and Kubernetes deployment standards. Improving observability, operational safety, and scalable infrastructure adoption across engineering teams.
About the role
- AI Platform Engineer role at RAVL focused on developing GenAI platforms and agent-based architectures. Building scalable integration layers for enterprise AI in a growing engineering team.
Responsibilities
- 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
Requirements
- 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)
Benefits
- 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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