MLOps Engineer

XenonStack Moments; Vallecito 15-8 Hualtaco I; Presencial; PEN 90.000 - 130.000; Jornada completa

Descripción de la vacante

XenonStack is seeking an MLOps Engineer to deploy, monitor, and optimize agentic AI systems in production environments across cloud and on-prem. You will own observability, reliability, and integration with enterprise APIs, knowledge bases, and third-party systems, working at the intersection of MLOps, DevOps, and AI.

Join a fast-growing AI Foundry building scalable, secure platforms for enterprise agents, and help ensure reliable, explainable AI with strong governance and performance monitoring.

Formación

• 2–5 years of experience in DevOps, MLOps, or AI systems engineering.
• Hands-on with LLM orchestration frameworks.
• Familiarity with AgentOps tools like 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.

Responsabilidades

• Agent Deployment & Operations across cloud and on-prem environments.
• Integrate agents with enterprise APIs, knowledge bases, and third-party systems.
• Implement agentic observability frameworks to track performance, latency, cost, and accuracy.
• Monitor execution traces, context windows, and agent interactions for anomalies.
• Fine-tune agent configurations for cost efficiency, scalability, and response quality.
• Implement fallbacks, guardrails, and redundancy mechanisms for reliability.
• Build automated pipelines to evaluate agent performance, safety, and compliance.
• Feed test results into continuous improvement loops with ML/AI engineers.
• Ensure agents follow enterprise security, governance and compliance standards.
• Collaborate with Responsible AI teams on trust, safety, and audit mechanisms.
• Work with AI engineers, DevOps, and product managers to align reliability with business outcomes.
• Support customer deployments with customized monitoring and tuning.

Conocimientos

LLM orchestration

Python

Cloud platforms

Docker

Kubernetes

LangChain

Observability tools

AgentOps tools

Monitoring

Herramientas

LangChain

LangGraph

LlamaIndex

Prometheus

Grafana

ELK

OpenTelemetry

Arize AI

Descripción del empleo

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 MLOps 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 will 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
• A Fast-Growing Category Leader
• Career Mobility & Growth
• Global Exposure
• Create Real Impact
• Culture of Excellence
• Responsible AI First

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

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

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

Manage enterprise-scale AgentOps deployments across regulated industries worldwide.

Ensure that AI agents in production deliver measurable business outcomes.

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

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.