Automation Infrastructure Engineer (AI)

Location: San Mateo, United States; hybrid

Salary: $170,000–$200,000 per year, plus equity

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Design, deploy, and maintain mission-critical workflows in n8n or an equivalent orchestration platform.
• Replace manual operational runbooks with event-driven automation, webhooks, custom nodes, and integration logic.
• Design and secure REST, GraphQL, and webhook integrations using OAuth2, mTLS, and API keys.
• Co-own CI/CD pipelines for AI model deployments and provision reproducible multi-cloud infrastructure with Terraform, OpenTofu, or Pulumi.
• Package and scale GPU and CPU workloads on Kubernetes across AWS or GCP.
• Build observability, retry, fallback, escalation, and self-healing paths for automation workflows.

Requirements

• 6+ years of experience building production systems.
• Strong Python plus JavaScript or TypeScript, including clean, modular, asynchronous code.
• Hands-on experience with n8n, Temporal, Make, or a comparable workflow orchestration platform, including custom nodes and error handling.
• Experience with REST, GraphQL, webhooks, API gateways, proxying, authentication, rate limits, retries, and payload validation.
• Ownership of CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins.
• Production Kubernetes experience on AWS or GCP, with Terraform used for infrastructure changes.

Nice to have

• Experience working with rapidly changing generative AI infrastructure and model-serving technologies.
• Experience solving low-latency inference and scalable model-serving challenges.

Culture & Benefits

• High autonomy with few templates and freedom to select effective tools.
• Cross-team ownership in partnership with Platform Engineering.
• Work on large-scale AI infrastructure serving billions of API requests per day.
• Equity included in the compensation package.
• Collaborative environment with engineers and AI researchers.