Site Reliability Engineer, AI Platform

About Xenonstack

XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.

We Build Enterprise-grade Platforms Across The Agentic Stack

• Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
• ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
• NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
• MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.

Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.

THE OPPORTUNITY

We are seeking an Site Reliability Engineer, AI Platform 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 Site Reliability Engineer, AI Platforming.
• 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