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XenonStack Moments
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Sahibzada Ajit Singh Nagar · On-site · 1-3 Yrs · Sep 29
3 open roles0 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
About Xenonstack XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling enterprises to gain real-time and intelligent business insights.
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 MonitoringTrack 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
- 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.
- 36 years of experience in SRE, DevOps, or Observability Engineering.
- Knowledge of Responsible AI monitoring frameworks.Background in BFSI, GRC, SOC, or other regulated industries.
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Job application FAQ
Last updated 28 October 2026
- How do I apply for Site Reliability Engineer, AI Platform at XenonStack Moments?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. XenonStack Moments may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Site Reliability Engineer, AI Platform role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Site Reliability Engineer, AI Platform remote or on-site in Sahibzada Ajit Singh Nagar, Punjab?
- This listing is marked on_site with location Sahibzada Ajit Singh Nagar, Punjab. Confirm details on the job description before applying.
- What skills matter for this Site Reliability Engineer, AI Platform role at XenonStack Moments?
- This is a mid-level Site Reliability Engineer, AI Platform role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.