Apprentice, Engineering
Toronto, ONRAVL
Candidates need formal technology education or prior technology experience, and must be comfortable writing and reviewing code in at least one language. Strong analytical skills, ownership of their work and an empathetic approach are also expected.
Process improvement, Analytical skills, Regulatory compliance
AI Solutions Architect (Senior and Principal)
Toronto, ONRAVL
Candidates need strong software engineering skills in Python or TypeScript, hands-on Google Cloud architecture experience, and practical work building LLM-based systems. Senior or Principal experience leading technical initiatives and working directly with clients is also required.
Google Cloud Platform, Cloud KMS, Artifact Registry, VPC Service Controls
AI Platform Engineer (Senior / Principal)
Toronto, ONRAVL
Candidates need deep GCP platform experience (GKE, IAM, Shared VPC, Terraform), Vertex AI MLOps depth, and strong Kubernetes, CI/CD and SRE practice. Senior candidates also need experience leading platform architecture and mentoring engineers, and knowledge of LLMs and secure AI services in regulated environments.
GKE, Terraform, Config Connector, Cloud Build, Cloud Deploy, Artifact Registry