LLM Ops Engineer

Key Responsibilities

• Deploy and manage LLM-based applications across cloud and hybrid environments.
  • Build and maintain production-grade inference pipelines for LLM workloads.
  • Design and implement LLMOps pipelines for model, prompt, and configuration lifecycle management.
  • Implement monitoring for latency, throughput, cost, errors, drift, and hallucinations.
  • Build dashboards and alerts to ensure SLA and reliability targets.
  • Optimize inference cost and performance using caching, batching, routing, and autoscaling strategies.
  • Enforce security, access control, audit logging, and governance controls for LLM usage.
  • Collaborate with Responsible AI teams to operationalize safety and compliance guardrails.
  • Enable AI Engineers and Fullstack teams through reusable LLMOps frameworks and platforms.