Software Development Engineer III - AI Engineer

Expedia Group • Austin, TX

1d • $146,000 - $204,500 • Hybrid

About The Position

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. Our Technology Team partners with teams across Expedia Group 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. Expedia Global Payments (EGP) is looking for top engineering talent to help drive the development of our payment platform, seamlessly roll out new payment methods, and continuously improve on our operational excellence and engineering practices. We offer a highly dynamic set of services that enable customers from all over the world to pay for travel in a variety of ways. We build, operate, and improve payment services for Expedia Group's brands, our suppliers (hoteliers, airlines, vacation rental owners/agencies, etc.), and our corporate needs. We do this accurately and at scale, processing over $100 billion payments in 55+ currencies in over 155 countries every year, and across a diverse set of payment options! This opportunity presents great technical challenges and the ability to have a tremendous business impact. Technology and innovation are at the heart of our organization. We provide solutions that reduce the cost of payments and improve performance, scalability, availability, and resiliency. We also provide an abundance of functional support to services in our platform, and the needs are ever-growing, as we adapt to new payment solutions and capabilities. This position focuses not only on implementing innovative software solutions for e-commerce payments systems at scale but also on being a role model and mentor to your fellow engineers. You will get to expand your skills in building highly scalable solutions while influencing others and raising the bar on the overall level of excellence within the team. You will also get the opportunity to influence decisions across the technology ecosystem within Expedia Group by being a key domain guide. Additionally, your input will be critical to the selection of new senior-level hires on the team. Role Summary Design and deliver real-time, AI-powered fraud and abuse defenses on a global scale. As a Software Development Engineer III, you will build and operate cloud-native decisioning and automated remediation systems, help simplify our platform, and collaborate with cross-functional teams to achieve measurable outcomes.

Requirements

• Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
• 5+ years of software engineering, including significant experience developing, deploying and operating ML/AI driven solutions in production.
• Demonstrable experience building, monitoring and debugging LLM and multi-agent applications, with frameworks and platforms such as LangChain, LangGraph, Langfuse, or equivalent.
• RAG-based architecture experience, including data orchestration frameworks such as LlamaIndex, vector databases such as Pinecone, or equivalent.
• Exposure to various LLM providers such as OpenAI, Gemini, and Anthropic.
• Production ML experience (supervised/anomaly detection, feature pipelines, online inference, monitoring/retraining); ability to ship with Data Science/ML Science partners.
• Hands-on proficiency in at least one modern programming language and core software engineering practices, including system design (LLD), API design, and data modeling for AI-enabled services.
• Familiarity with distributed cloud-native engineering at scale (AWS, GCP, or Azure), microservices, API-driven design, SQL/NoSQL databases and data streaming/processing (Kafka, Flink, Spark).

Nice To Haves

• Proven experience building and operating either fraud and risk systems in production, or other similarly ML/AI heavy systems.
• Graph/sequence modeling or entity resolution at scale; device and behavioral signals.
• Track record reducing manual operations via automation and platform simplification.
• Experience with cloud cost/performance tuning and capacity planning.
• Marketplace, travel, or e-commerce experience.

Responsibilities

• Contribute to the design and implementation of low-latency risk decisioning (signals + rules + models) and automated remediation, owning the quality and reliability of the services and components you build.
• Build, deploy, and operate ML-powered capabilities in production, partnering closely with Data Science/ML Scientists on features, experimentation, and monitoring.
• Incorporate and integrate Generative and Agentic AI into fraud detection and remediation workflows to reduce time to detect and mitigate attacks.
• Help simplify and modernize the platform (streaming/data pipelines, microservices, CI/CD, configuration-driven controls) so that teams can iterate quickly and safely.
• Participate in evaluating vendors and in-house solutions for performance, cost, and risk posture, contributing data and implementation perspectives into the decision process.
• Implement and maintain SLOs, observability, and safety/rollback mechanisms for the services you own, ensuring security, privacy, and compliance requirements are met by design.
• Collaborate closely with engineering, product, operations, security, and compliance teams to deliver outcomes, sharing knowledge with peers and supporting a high bar for engineering excellence.
• Mentor other engineers and champion the use of AI within the organization

Benefits

• 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
• medical/dental/vision
• paid time off
• Employee Assistance Program
• wellness & travel reimbursement
• travel discounts
• International Airlines Travel Agent (IATAN) membership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level