AI Infrastructure Engineer
Tasks
- Apply FinOps cost controls and routing
- Architect AWS Kubernetes platform for AI agents
- Build infrastructure as code with Terraform
- Build observability with OpenTelemetry and Prometheus
- Define SLIs SLOs and error budgets for AI services
- Deploy and operate AI agent runtimes
- Design multi agent pipelines and agent lifecycle
- Implement GitOps and CI/CD pipelines
- Implement LLM tracing and eval pipelines
- Implement security guardrails and audit trails
- Integrate agent workflows via APIs and webhooks
- Lead incident response and post-mortems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Agent SDK | Anthropic Agent SDK | Argo CD | Audit trails | CI/CD | FinOps | GitHub Actions | GitOps | Human-in-the-loop | IAM | Injection Defense | Kubernetes | LLM evals | LLM tracing | Langfuse | MCP | OpenTelemetry | PII Redaction | Prometheus | Prompt injection | Prompt injection defense | Python | REST API | SLI | SLO | Terraform | The Loop | Token metrics | Vector Database
Education
N/A
Roles
AI | AI Infrastructure Engineer | DevOps | DevOps Engineer | Engineer | Infrastructure Engineer
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