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XenonStack

AgentOps Engineer

Mohali, India
2+ years exp
Full-time
Posted 5d ago
1 views
Actively Hiring Direct 1-Click Apply

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Job Description

​

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

→

Vision AI Platform

→

Inference AI Infrastructure for Agentic Systems

→

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.
2.

A Fast-Growing Category Leader

Join of the fastest-growing

AI Foundries

, powering

mission-critical AI agents

for global enterprises.
3.

Career Mobility & Growth

Grow into roles such as

AgentOps Lead, Reliability Engineer, or AI Systems Architect

.
4.

Global Exposure

Manage

enterprise-scale AgentOps deployments

across regulated industries worldwide.
5.

Create Real Impact

Ensure that

AI agents in production deliver measurable business outcomes

.
6.

Culture of Excellence

Our values —

Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession

— empower you to build, innovate, and own outcomes.
7.

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

.

​

Benefits

Key Requirements & Skills

  • 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.
  • 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.

Benefits & Perks

Vision AI Platform** →

Frequently Asked Questions

How to apply for AgentOps Engineer at XenonStack?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

2+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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XenonStack

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AgentOps Engineer

XenonStack · Mohali

Apply on Company Website