Site Reliability Engineer, AI Platform

About Xenonstack

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling enterprises to gain real-time and intelligent business insights.

We Deliver Innovation Through

• Agentic Systems for AI Agents → akira.ai
• Vision AI Platform → xenonstack.ai
• Inference AI Infrastructure for Agentic Systems → nexastack.ai
  
  

Our mission is to accelerate the world's transition to AI + Human Intelligence by building platforms that are scalable, reliable, and observable by design.

THE OPPORTUNITY

We are seeking an Agentic Infrastructure Observability Engineer to design and implement end-to-end observability frameworks for AI-native and multi-agent systems.

This role sits at the heart of AgentOps and Reliability Engineering — ensuring that agents, pipelines, and infrastructure are monitored, measurable, and continuously optimized.

If you thrive on metrics, monitoring, and making complex systems transparent and reliable, this role offers a chance to define observability for the next generation of enterprise AI.

Key Responsibilities

• Observability Frameworks
• Design and implement observability pipelines covering metrics, logs, traces, and cost telemetry for agentic systems.
• Build dashboards and alerting systems to monitor reliability, performance, and drift in real-time.
• Agentic AI Monitoring
• Track LLM usage, context windows, token allocation, and multi-agent interactions.
• Build monitoring hooks into LangChain, LangGraph, MCP, and RAG pipelines.
• Reliability & Performance
• Define and monitor SLOs, SLIs, and SLAs for agentic workflows and inference infrastructure.
• Conduct root cause analysis of agent failures, latency issues, and cost spikes.
• Automation & Tooling
• Integrate observability into CI/CD and AgentOps pipelines.
• Develop custom plugins/scripts to extend observability for LLMs, agents, and data pipelines.
• Collaboration & Reporting
• Work with AgentOps, DevOps, and Data Engineering teams to ensure system-wide observability.
• Provide executive-level reporting on reliability, efficiency, and adoption metrics.
• Continuous Improvement
• Implement feedback loops to improve agent performance and reduce downtime.
• Stay updated with state-of-the-art observability and AI monitoring frameworks.
  

Skills & Qualifications

Must-Have

• 3–6 years of experience in SRE, DevOps, or Observability Engineering.
• Strong knowledge of observability tools (Prometheus, Grafana, ELK, OpenTelemetry, Jaeger).
• Experience with cloud-native infrastructure (AWS, GCP, Azure) and Kubernetes monitoring.
• Proficiency in Python, Go, or Bash for scripting and automation.
• Understanding of AI/LLM pipelines, RAG systems, and vector databases.
• Hands-on with CI/CD pipelines and monitoring-as-code.
  
  

Good-to-Have

• Experience with AgentOps tools (LangSmith, PromptLayer, Arize AI, Weights & Biases).
• Exposure to AI-specific observability (token usage, model latency, hallucination tracking).
• Knowledge of Responsible AI monitoring frameworks.
• Background in BFSI, GRC, SOC, or other regulated industries.
  
  

WHY SHOULD YOU JOIN US

• Agentic AI Product Company
  
  

Build observability frameworks for next-gen enterprise AI systems.

• A Fast-Growing Category Leader
  
  

Be part of one of the fastest-growing AI Foundries, powering mission-critical agent deployments.

• Career Mobility & Growth
  
  

Advance into roles like Reliability Architect, AgentOps Lead, or Head of Observability.

• Global Exposure
  
  

Work on observability challenges across Fortune 500 enterprises and global innovators.

• Create Real Impact
  
  

Ensure transparency, trust, and resilience in production-grade AI systems.

• Culture of Excellence
  
  

Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you autonomy to innovate and accountability to deliver.

• Responsible AI First
  
  

Help enterprises adopt AI that is not just powerful, but explainable and auditable.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe in shaping the future of intelligent systems. We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.

Our Cultural Values

• Agency – Be self-directed and proactive.
• Taste – Sweat the details and build with precision.
• Ownership – Take responsibility for outcomes.
• Mastery – Commit to continuous learning and growth.
• Impatience – Move fast and embrace progress.
• Customer Obsession – Always put the customer first.
  
  

Our Product Philosophy

• Obsessed with Adoption – Making observability and trust an integral part of enterprise AI.
• Obsessed with Simplicity – Turning complex monitoring into seamless, actionable insights.
  
  

Be part of our mission to accelerate the world's transition to AI + Human Intelligence — by making agentic AI systems transparent, observable, and reliable at scale.