AI Infrastructure Engineer
Ramat Gan, Tel Aviv District, IL
ILS 329K-413K (estimate) Mid-level Full Time
Tasks
- Architect build and run AWS Kubernetes platform for AI agents
- Build observability with OpenTelemetry and Prometheus
- Define SLOs SLIs and error budgets for AI services
- Design and ship production grade agent systems and pipelines
- Drive model routing caching and batch versus realtime tradeoffs
- Implement FinOps cost controls and chargeback visibility
- Implement LLM tracing and eval pipelines
- Implement guardrails including PII redaction and audit trails
- Integrate agent workflows via APIs databases webhooks and messaging
- Lead incident response and post-mortems
- Own Infrastructure-as-Code with Terraform
- Own agent lifecycle from scoping to eval to deploy to monitor
- Set up CI CD and release automation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Agent SDK | Anthropic Agent SDK | Argo CD | Audit trails | CI/CD | Claude Code | Cost monitoring | FinOps | GitHub Actions | IAM | Incident Management | Kubernetes | LLM tracing | Langchain | Langfuse | MCP | Observability | OpenTelemetry | PII Redaction | Prometheus | Python | REST APIs | SLI | SLO | Terraform | Token Cost | Token Cost Monitoring | Vector Databases
Education
N/A
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