LLM Ops Engineer: Build Secure AI Platform & Scale

PVH (Tommy Hilfiger/Calvin Klein)

Denver (CO)

Hybrid

USD 105,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
401(k) with company match
Incentive programs

Job summary

Litera is seeking an LLM Ops Engineer in a hybrid Denver-based role. You will build and run a scalable AI platform enabling teams to deploy models across providers while ensuring security, governance, and cost efficiency.

You will work with OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Vertex AI, implementing high availability and observability. Join a fast-paced organization focused on AI-enabled legal technology.

Qualifications

  • 3+ years in DevOps/Platform/MLOps with hands-on production LLMs.
  • Experience deploying, managing, and scaling models across multiple AI providers.
  • Strong Python programming skills; building scalable, secure infrastructure.

Responsibilities

  • Build and operate a scalable AI platform to access and deploy models across providers and environments.
  • Ensure high availability and resiliency of AI services with production-grade infra.
  • Establish secure AI operations with governance, data protection, and access controls.
  • Provide a unified developer experience via APIs, self-service tooling, and best practices.
  • Optimize platform performance, reliability, and cost through monitoring and provider strategy management.
  • Lead evaluation of emerging AI tech and scalable solutions for Litera.

Skills

DevOps
Platform Engineering
MLOps
Python programming

Tools

OpenAI
Anthropic
Azure OpenAI
AWS Bedrock
Google Vertex AI
Kubeflow
MLflow
Apache Airflow
Kubernetes
IaC

Job description

Litera is seeking an LLM Ops Engineer in a hybrid Denver-based role. You will build and run a scalable AI platform enabling teams to deploy models across providers while ensuring security, governance, and cost efficiency.

You will work with OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Vertex AI, implementing high availability and observability. Join a fast-paced organization focused on AI-enabled legal technology.

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