MLOps Engineer

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 worlds 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. Youll 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.

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.

• 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.

• 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.

• 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 worlds transition to AI + Human Intelligence — by ensuring AI agents are reliable, secure, and production-ready.