Software Engineer, LLM Platform

<p><strong>About Carvana</strong></p> <p>At Carvana, we’re changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. </p> <p>Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we’re just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical. </p> <p>Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you’ll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you’re driven to grow and make an impact as part of a collaborative team, you’ll fit right in. Learn more about what it’s like to work here from the <a href="https://www.youtube.com/watch?v=93pa9NmlrYcfeature=youtu.be">people that already do</a>. </p> <p><strong>This is a fully on-site position, Monday through Friday, at our corporate HQ in Tempe, Arizona.</strong></p> <p><strong>About the team and position</strong></p> <p>The LLM Platform team sits at the center of Carvana’s AI transformation. We build and operate the core infrastructure powering conversational experiences, agentic workflows, and AI-augmented internal tools used across the company. As an Engineer you will design and build the foundational infrastructure that powers AI-driven customer interactions and internal workflows across Carvana. Your work will define how large language models, agentic systems, and distributed services operate at scale across our platform, supporting millions of customer conversations and critical business operations.</p> <p>You will own architecture, lead complex technical initiatives, and help shape the evolution of AI-native systems across the organization. This role offers the opportunity to influence platform direction, solve deeply technical distributed systems challenges, and build production AI systems with real-world impact.</p> <p>This is a highly visible role with significant ownership and the ability to influence both technical strategy and business outcomes.</p> <p>Our platform enables:</p> <ul> <li>Customer-facing conversational experiences across chat, voice, SMS, and email</li> <li>AI agents that automate workflows and augment internal teams</li> <li>Distributed systems that support high-volume, real-time messaging and decision-making</li> <li>Scalable model integration, orchestration, and evaluation pipelines</li> </ul> <p>We operate a modern, polyglot technology stack including:</p> <ul> <li>Backend services in C# / .NET, Python, and Scala</li> <li>Frontend applications in TypeScript and React</li> <li>Kubernetes-based containerized infrastructure</li> <li>PostgreSQL and Azure Cosmos DB data stores</li> <li>Distributed messaging systems and event-driven architectures</li> <li>Cloud infrastructure and AI services on Microsoft Azure</li> </ul> <p>Engineers on this team work across system boundaries, owning problems end-to-end and shaping platform architecture as we scale.</p> <p><strong>What you’ll be doing</strong></p> <p><em>Architecture and System Design</em></p> <ul> <li>Design, build, and evolve distributed systems supporting conversational AI, LLM integrations, and agent orchestration</li> <li>Define and implement scalable, reliable backend architectures across a polyglot stack (C# / .NET, Python, Scala)</li> <li>Identify and address system scalability, performance, and reliability challenges</li> <li>Lead technical design reviews and influence architectural direction</li> </ul> <p><em>Platform and Infrastructure Development</ ... (truncated, view full listing at source)