🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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. Where You’ll Work 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. Why this Role Matters 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 at scale. This role is instrumental in accelerating AI adoption while maintaining the performance, security, and resilience required for enterprise software. What You’ll Deliver 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. What You’ll Bring Must-Haves: 3+ years of experience in DevOps, 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. Nice to Haves: 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. We know great candidates don’t always check every box. If you’re excited about this role, we encourage you to apply. What You’ll Experience 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. Pay Transparency for Colorado Applicants The base salary range for this role is $105,000 to $130,000 USD. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to participate in a company bonus plan. In addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) with company match, and incentive and recognition programs. Benefits are subject to eligibility requirements. Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.