LLM Ops Engineer

Job Description Ready to Help Shape the Future of Legal Tech?!

At Litera, we don’t just build software, we transform how the world’s top law firms operate. Every day, we Raise The Bar for what’s possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you’re energized by scale, real impact, and meaningful challenges, you’ll feel right at home here.

This is a hybrid role based in Denver, CO with the expectations to be in office at least 3 days a week for collaboration and connection.

At Litera, AI is becoming a critical enabler of how we build products, improve customer experiences, and drive innovation. As an LLM Ops Engineer, you will create the secure, scalable, and reliable foundation that allows our engineering teams to leverage AI confidently and efficiently across the business. Your work will ensure that AI capabilities are available, governed, cost‑effective, and ready to support production applications s role is instrumental in accelerating AI adoption while maintaining the performance, security, and resilience required for enterprise software.

• Build and operate a scalable AI platform that enables engineering teams to seamlessly access and deploy models across multiple providers and environments.
• Ensure high availability and resiliency of AI services through intelligent routing, failover strategies, and production‑grade infrastructure.
• Establish secure and compliant AI operations by protecting model access, safeguarding sensitive data, and enforcing governance standards.
• Create a consistent developer experience through unified APIs, self‑service capabilities, tooling, and best practices that accelerate AI adoption.
• Optimize AI platform performance, reliability, and cost efficiency through proactive monitoring, analytics, and provider strategy management.
• Lead the evolution of Litera’s AI operations capabilities by evaluating emerging technologies and recommending scalable solutions.
• Deliver observability and operational excellence through dashboards, alerting, quality monitoring, and service‑level metrics.
• Support the safe deployment of AI solutions by implementing testing frameworks, quality controls, and production readiness standards.

We’re committed to creating an inclusive environment. If you need accommodations at any point in the process or in the role, we’re here to support you.

• 3+ years of experience in Dev Ops, Platform Engineering, MLOps, or a related field, including hands‑on experience operating LLMs in production environments.
• Experience deploying, managing, and scaling models across multiple AI providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Strong expertise in building highly available, secure infrastructure, including load balancing, failover strategies, secrets management, and access controls.
• Experience with API management, gateway technologies, and production‑grade AI service operations.
• Strong Python programming skills with experience developing and supporting scalable systems.
• Proven ability to solve complex technical challenges and thrive in a fast‑paced, evolving environment while collaborating across teams.

• Experience fine‑tuning or training large language models for domain‑specific applications.
• Familiarity with ML orchestration tools and frameworks such as Kubeflow, MLflow, or Apache Airflow.
• Experience with LLM evaluation frameworks, retrieval‑augmented generation (RAG), vector databases, or inference optimization techniques.
• Knowledge of infrastructure‑as‑code, Kubernetes, compliance frameworks, or large‑scale AI cost optimization strategies.

• A team that shows up.
• Work alongside people who collaborate, support one another, and lead with integrity.
• Global Reach. Partner with teams around the world to solve complex challenges that matter.
• Real opportunity for growth. Expand your impact through meaningful stretch opportunities, visibility and career development.
• AI‑driven innovation. Work at the intersection of legal technology, customer outcomes, and cutting‑edge AI.