Site Reliability Engineer, AI Platform (San Martín)

Site Reliability Engineer, AI Platform (San Martín)

01 oct
|
XenonStack Moments
|
San Martín

01 oct

XenonStack Moments

San Martín

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 .

- General 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.

#J-18808-Ljbffr

📌 Site Reliability Engineer, AI Platform (San Martín)
🏢 XenonStack Moments
📍 San Martín

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