Applied AI Engineer

📋 Description

• Own internal tools end-to-end from problem to deployment.
• Build across the stack: Python/Go on Cloud Run, TS web apps, Pub/Sub.
• Integrate with SaaS platforms and cloud APIs: REST, webhooks, OAuth.
• Build and maintain workflow automation and orchestration as observable flows.
• Use AI tooling across the SDLC, directing Claude as a coding collaborator.
• Review AI-generated code for correctness, security, and type safety.

🎯 Requirements

• End-to-end product delivery: shipped and operated production software.
• Backend engineering: Python or Go; own a service from design to Cloud Run.
• Frontend engineering: TypeScript/React; build internal dashboards.
• Cloud infrastructure: deploy and operate on GCP; IAM, secrets, Cloud Run, pipelines.
• API and systems integration: REST, webhooks, OAuth, event-driven patterns.
• Security baseline and AI in SDLC: no hardcoded credentials; secrets mgmt; AI tooling.

🎁 Benefits

• Unlimited PTO
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance