AI Observability Engineer

📋 Description Own tools and systems for visibility into AI apps, platforms, and infra performance Design, implement, operate observability for AI workloads including LLMs Configure AI tracing systems for latency, token usage, cost, quality, prompts, model versions Build automation tooling in Python for instrumentation and data collection Maintain dashboards and monitoring with Grafana, Prometheus, cloud observability Instrument AI platforms for health, usage, cost, and SLOs 🎯 Requirements 5–8 years in observability, SRE, DevOps, or cloud engineering Hands-on with Azure Monitor, Application Insights, Log Analytics, Grafana Experience with Langfuse, Grafana, Prometheus for AI monitoring Terraform and CI/CD practices Strong Python for automation and tooling Familiarity with ML workloads and AI observability needs 🎁 Benefits Competitive compensation Career development and learning opportunities Flexible working environment with ownership Opportunity to work on impactful AI infrastructure Collaborative international teams Contribute to next-gen AI platforms