AI Observability Engineer

📋 Description

• Own the tools, processes, and systems that provide visibility into AI applications, platform
• Design, implement, and operate observability solutions for AI workloads, including LLM and agent
• Configure and maintain AI tracing systems to capture latency, token usage, cost, quality metrics
• Develop internal tooling and automation solutions using Python for instrumentation and data
• Build and maintain dashboards, metrics, and monitoring solutions using Grafana, Prometheus, and
• Instrument AI platforms and workloads to provide visibility into health, usage, performance, cost

🎯 Requirements

• 5–8 years of experience in observability, SRE, platform engineering, DevOps, or cloud engineering
• Strong hands-on experience with Azure Monitor, Application Insights, Log Analytics, and Managed
• Experience working with Langfuse, Grafana, and Prometheus for AI and application monitoring.
• Solid knowledge of Terraform and CI/CD practices.
• Strong Python skills for automation, instrumentation, exporters, and internal tooling development.
• Familiarity with machine learning workloads and AI-specific observability requirements.

🎁 Benefits

• Competitive compensation package.
• Career development and continuous learning opportunities.
• Flexible working environment with strong ownership and autonomy.
• Opportunity to work on impactful AI infrastructure and technology projects.
• Collaborative culture with highly skilled international teams.
• Chance to contribute to the evolution of next-generation AI platforms.