Site Reliability Engineer, AI Platform
Xenonstack · xenonstack.com
Mohali
The job in short
Site reliability engineer for AI platform.
Details
- Found
- 21 d ago · posted 2026-03-26
- Location as listed
- Mohali, Punjab, India
- Role
- DevOps / SRE / Platform Engineer
- Source
- The company’s own careers site
Full description
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
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Observability Frameworks
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Design and implement observability pipelines covering metrics, logs, traces, and cost telemetry for agentic systems.
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Build dashboards and alerting systems to monitor reliability, performance, and drift in real-time.
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Agentic AI Monitoring
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Track LLM usage, context windows, token allocation, and multi-agent interactions.
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Build monitoring hooks into LangChain, LangGraph, MCP, and RAG pipelines.
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Reliability & Performance
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Define and monitor SLOs, SLIs, and SLAs for agentic workflows and inference infrastructure.
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Conduct root cause analysis of agent failures, latency issues, and cost spikes.
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Automation & Tooling
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Integrate observability into CI/CD and AgentOps pipelines.
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Develop custom plugins/scripts to extend observability for LLMs, agents, and data pipelines.
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Collaboration & Reporting
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Work with AgentOps, DevOps, and Data Engineering teams to ensure system-wide observability.
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Provide executive-level reporting on reliability, efficiency, and adoption metrics.
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Continuous Improvement
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Implement feedback loops to improve agent performance and reduce downtime.
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Stay updated with state-of-the-art observability and AI monitoring frameworks.
SKILLS & QUALIFICATIONS
Must-Have
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3–6 years of experience in SRE, DevOps, or Site Reliability Engineer, AI Platforming.
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Strong knowledge of observability tools (Prometheus, Grafana, ELK, OpenTelemetry, Jaeger).
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Experience with cloud-native infrastructure (AWS, GCP, Azure) and Kubernetes monitoring.
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Proficiency in Python, Go, or Bash for scripting and automation.
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Understanding of AI/LLM pipelines, RAG systems, and vector databases.
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Hands-on with CI/CD pipelines and monitoring-as-code.
Good-to-Have
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Experience with AgentOps tools (LangSmith, PromptLayer, Arize AI, Weights & Biases).
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Exposure to AI-specific observability (token usage, model latency, hallucination tracking).
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Knowledge of Responsible AI monitoring frameworks.
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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
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Agency – Be self-directed and proactive.
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Taste – Sweat the details and build with precision.
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Ownership – Take responsibility for outcomes.
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Mastery – Commit to continuous learning and growth.
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Impatience – Move fast and embrace progress.
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Customer Obsession – Always put the customer first.
Our Product Philosophy
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Obsessed with Adoption – Making observability and trust an integral part of enterprise AI.
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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.
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