AI Platform Engineer

Duration: 6 months (extension possibilities)

Core Requirements

• Full-stack or systems engineering experience with production-grade applications
• Practical experience with AI/LLM integration (e.g., APIs, tooling, workflows)
• Experience designing and implementing deployment architectures in cloud or controlled environments (e.g., VPCs, on-prem)
• Hands-on experience building or maintaining CI/CD pipelines, release workflows, and environment management
• Experience codifying and implementing SOPs or automated deployment/operations processes

Past Experience

• Deploying and operating applications in cloud platforms (Azure, AWS, or GCP)
• Experience with Infrastructure as Code (Terraform, Bicep, or CloudFormation)
• Experience with containers and orchestration (Docker, Kubernetes)
• Building or contributing to observability, monitoring, logging, or incident response tooling