Agentic Infrastructure Observability Engineer
XenonStack
Description
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
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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.
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Agentic AI Monitoring
- Track LLM usage, context windows, token allocation, and multi-agent interactions.
- Build monitoring hooks into LangChain, LangGraph, MCP, and RAG pipelines.
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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.
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Automation & Tooling
- Integrate observability into CI/CD and AgentOps pipelines.
- Develop custom plugins/scripts to extend observability for LLMs, agents, and data pipelines.
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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.
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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?
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Agentic AI Product Company
Build observability frameworks for next-gen enterprise AI systems.
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A Fast-Growing Category Leader
Be part of one of the fastest-growing AI Foundries, powering mission-critical agent deployments.
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Career Mobility & Growth
Advance into roles like Reliability Architect, AgentOps Lead, or Head of Observability.
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Global Exposure
Work on observability challenges across Fortune 500 enterprises and global innovators.
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Create Real Impact
Ensure transparency, trust, and resilience in production-grade AI systems.
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Culture of Excellence
Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you autonomy to innovate and accountability to deliver.
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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.
About XenonStack
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