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