AI Applications Engineer

📋 Description

• Build and operate the AI platform in the cloud, production-grade and secure.
• Infrastructure as code (Terraform) for reproducible environments.
• CI/CD pipelines for AI solutions: build, test, security gates, deploy.
• Model and agent runtime (MLOps/LLMOps): serving, evaluation, versioning.
• Data and integration plumbing: secure connectors and pipelines.
• Security and governance guardrails (IAM, secrets, policy-as-code) with InfoSec.

🎯 Requirements

• Bachelor's degree or equivalent in CS/Engineering.
• 3+ years in platform, DevOps, infrastructure, or MLOps engineering.
• Cloud experience (Google Cloud preferred) with Terraform and Docker/Kubernetes.
• Strong CI/CD with automated testing and security gates.
• Experience running ML/LLM or data-intensive systems in production (MLOps/LLMOps).
• Security fundamentals (IAM, secrets, egress, policy-as-code) and enterprise governance.

🎁 Benefits

• Team-first culture and inclusive environment.
• Equal opportunity employer.
• Global reach with cross-functional collaboration.