Senior Software Development Engineer - GenAI Platform

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the Team:

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Senior Software Developer role is part of the GenAI Platform team. The GenAI Platform team builds and operates Expedia Group’s shared generative AI platform – tooling, services, and guardrails – that enable product and ML teams to safely experiment with, deploy, and scale GenAI‑powered experiences across our brands. You will lead the design, delivery, and evolution of scalable GenAI services and multi‑agent infrastructure that power secure, observable GenAI capabilities across Expedia Group.

By shaping multi‑agent platform architecture, codifying guardrails and best practices, and partnering closely with product and domain engineering teams, you will accelerate how internal teams build, integrate, and safely operate AI‑enabled experiences for travelers and partners at global scale.

In this role, you will:

• Design, build, and operate Python/FastAPI backend services and APIs that power GenAI Platform capabilities such as RAG managers, data planes, and vector store services, with strong focus on system design, API design, and data modeling.
• Implement clean, maintainable, and well‑tested code using modern engineering practices including code reviews, CI/CD pipelines, automated testing, monitoring, alerting, and participating in on‑call rotations where applicable.
• Integrate platform services with internal and external LLM providers, Elasticsearch‑based vector stores, and Aurora Postgre
  
  SQL as part of scalable, reliable RAG and retrieval workflows across multiple domains.
• Contribute to and evolve GenAI platform guardrails and safety features (authentication, API key management, workload‑to‑workload authentication, evaluation and observability hooks) so AI‑enabled applications are secure, responsible, observable, cost‑aware, and safely integrate and operate AI/ML‑enabled solutions that improve outcomes.
• Partner closely with staff and principal engineers, product managers, applied scientists, and other engineering teams to refine requirements, shape platform architecture (including multi‑tenant vector stores and workflow integrations), and deliver incremental, production‑ready value.
• Create and maintain clear technical documentation (design docs, runbooks, implementation guides, and how‑tos) that enables other teams to successfully adopt, extend, and build on GenAI Platform services and paved roads.

Minimum Qualifications:

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 8+ years of relevant professional experience, including building and operating backend services and APIs with end‑to‑end ownership from design through deployment and ongoing operational support.
• Proven proficiency in Python and experience developing production‑grade web services using FastAPI or similar modern frameworks (such as Flask, Django, or other async service frameworks), with solid understanding of system design, API design, and data modeling.
• Experience building and…