Principal Software Development Engineer, GenAI Platform

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Principal Software Development Engineer, GenAI Platform Introduction to team Expedia Group’s Technology team partners with teams across the company to create innovative products, services, and tools for travelers, partners, and employees. Our singular technology platform, powered by data and machine learning, enables secure, differentiated, and personalized experiences. As a Principal Software Engineer on the Generative AI Platform team, you will help build the foundational capabilities that enable teams across Expedia Group to develop, operate, secure, govern, and scale AI-powered experiences. This is a hands-on platform role with broad technical influence across multiple areas, not a single-product or single-bot assignment. This role is based in Gurgaon and requires regular in-person collaboration with the engineering team. In this role, you will: Design and build reusable Generative AI platform services, pipelines, and application programming interfaces that support multiple teams and use cases. Develop and operate production-grade AI agents using LangGraph, deep-agent, multi-agent, or comparable agentic patterns. Set technical direction for agent evaluation, operations, security, and governance capabilities. Architect intelligent model-routing and large language model gateway platforms, balancing reliability, latency, quality, and inference cost. Evaluate model and platform approaches, including open-weight model deployment, fine-tuning, and inference strategies. Lead through influence, mentor engineers, and establish engineering practices that improve reliability, developer productivity, security, and business agility.

10+ years of professional software engineering experience, including a strong track record building scalable backend or platform systems in high-traffic, distributed environments. Recent, hands-on experience designing and developing production-grade Generative AI or AI-agent systems. Proficiency in Python and at least one additional production language, such as Java or Kotlin. Experience designing cloud-native systems using distributed systems, microservices, application programming interfaces, data pipelines, and low-latency architecture. Hands-on experience with AWS, Docker, Kubernetes, continuous integration and continuous delivery, database platforms, caching, and architectural design patterns. Ability to set technical direction, communicate complex concepts clearly, and influence globally distributed teams.

Experience with MLOps, including model fine-tuning, inference systems, or deployment of open-weight models. Experience building or operating agent evaluation, agent operations, agent security, or agent governance capabilities. Experience developing generic, reusable GenAI pipelines or intelligent model-routing and LLM gateway platforms. Experience applying FinOps principles to model routing, inference optimization, or large-scale AI platform cost management. Experience balancing platform reliability, developer productivity, security, and business agility across multiple engineering domains. Experience mentoring engineers and contributing to a culture of transparency, shared ownership, and continuous learning. A