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MLOps Engineer

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Onsite

MLOps Engineer

XenonStack Moments

MLOps Engineer

Skills

Google Cloud PlatformDockerPythonGrafanaMachine LearningAIAWSPrometheusKubernetesComplianceAzure

25 days ago

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Important information


Contract type:

Permanent

Location:

Ghaziabad, Uttar Pradesh, India

Work mode:

Onsite

Published on:

26 September 2026

What they need


About Xenonstack XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling people and organizations 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 making AI agents enterprise-ready, reliable, and production-grade .

THE OPPORTUNITY We are seeking an AgentOps Engineer to deploy, monitor, and optimize agentic AI systems in production environments .

This role is at the core of AI observability and operational reliability , ensuring that multi-agent workflows perform consistently, safely, and efficiently. You’ll work at the intersection of MLOps, DevOps, and Agentic AI , enabling enterprises to confidently adopt AI agents at scale.

Key Responsibilities

  • Agent Deployment & Operations

  • Deploy and maintain LLM-powered and multi-agent systems across cloud and on-prem environments.

  • Integrate agents with enterprise APIs, knowledge bases, and third-party systems.

  • Monitoring & Observability

  • Implement agentic observability frameworks to track performance, latency, cost, and accuracy.

  • Monitor execution traces, context windows, and agent interactions for anomalies.

  • Optimization & Reliability

  • Fine-tune agent configurations for cost efficiency, scalability, and response quality.

  • Implement fallbacks, guardrails, and redundancy mechanisms to ensure reliability.

  • Evaluation & Feedback Loops

  • Build automated pipelines to evaluate agent performance, safety, and compliance.

  • Feed test results into continuous improvement loops with ML/AI engineers.

  • Security & Compliance

  • Ensure agents follow enterprise security, governance, and compliance standards.

  • Collaborate with Responsible AI teams to implement trust, safety, and audit mechanisms.

  • Cross-Functional Collaboration

  • Work with AI engineers, DevOps, and product managers to align operational reliability with business outcomes.

  • Support customer deployments with customized monitoring and tuning.

Skills & Qualifications Must-Have

  • 2–5 years of experience in DevOps, MLOps, or AI systems engineering.
  • Hands-on with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex).
  • Familiarity with AgentOps tools (LangSmith, PromptLayer, Weights & Biases, Arize AI).
  • Proficiency in Python and scripting for automation.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK, OpenTelemetry).
  • Understanding of RAG pipelines, vector databases, and context orchestration.

Good-to-Have

  • Exposure to multi-agent orchestration (MCP, A2A messaging, AgentBridge).
  • Experience in Responsible AI / model evaluation frameworks.
  • Familiarity with CI/CD pipelines for AI models and agents.
  • Background in BFSI, GRC, SOC, or enterprise SaaS systems.

WHY SHOULD YOU JOIN US?

  • Agentic AI Product Company

Work on next-gen AI platforms where agent reliability and observability define enterprise adoption.

  • A Fast-Growing Category Leader

Join one of the fastest-growing AI Foundries , powering mission-critical AI agents for global enterprises.

  • Career Mobility & Growth

Grow into roles such as AgentOps Lead, Reliability Engineer, or AI Systems Architect .

  • Global Exposure

Manage enterprise-scale AgentOps deployments across regulated industries worldwide.

  • Create Real Impact

Ensure that AI agents in production deliver measurable business outcomes .

  • Culture of Excellence

Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — empower you to build, innovate, and own outcomes.

  • Responsible AI First

Contribute to trustworthy, explainable, and compliant AI agents that enterprises can rely on.

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 AI agents reliable and enterprise-ready.
  • Obsessed with Simplicity – Turning complex agent operations into seamless, intuitive workflows.

Be a part of our mission to accelerate the world’s transition to AI + Human Intelligence — by ensuring AI agents are reliable, secure, and production-ready .

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