DevOps Engineer

Position Overview

We are seeking a specialized MLOps Engineer with mandatory experience in building and maintaining pipelines for evaluation and deployment of agentic systems . This role is critical to our growing AI / ML practice in Bengaluru, focusing on productionizing autonomous AI agents and multi-agent systems at enterprise scale.

Key Responsibilities

• Design and implement end-to-end MLOps pipelines specifically for agentic systems including autonomous agents, multi-agent frameworks, and LLM-based applications
• Build robust evaluation frameworks for agent performance, including metrics for task completion, decision quality, and agent collaboration
• Deploy and orchestrate agentic systems using containerization and microservices architectures
• Implement comprehensive monitoring for agent behavior, performance degradation, and system health
• Establish version control and experiment tracking for agent configurations, prompts, and model weights using MLflow (mandatory)
• Create automated testing pipelines for agent reasoning, tool usage, and edge case handling
• Build scalable infrastructure for agent deployment including API gateways, message queues, and state management
• Implement safety and guardrail mechanisms for production agent deployments
• Develop rollback and A / B testing strategies for agent updates and model changes
• Collaborate with ML researchers to productionize novel agent architectures

Required Technical Skills

MLOps & Agentic Systems (Mandatory) :

Programming & Infrastructure :

Cloud & DevOps :

ML & Data :

Qualifications

What We Offer

Note : Applications without demonstrated experience in agentic systems MLOps and MLflow will not be considered.