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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