Software Development Engineer III

Expedia Group • Seattle, WA

1d • $146,000 - $204,500

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. Software Development Engineer III - AI Engineer 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. At Expedia Group Fraud & Risk (EFR), we are the guardians of marketplace trust. We protect EG from financial loss and brand damage, securing every channel for our customers, partners, suppliers, and employees. Our world‑class engineering and machine learning turn massive, noisy signals into real‑time decisions that minimize risk while keeping traveler friction low. What makes this work unique: in travel, risk doesn’t stop at checkout, it spans the entire journey. The global ecosystem is vast and fragmented, control points are scarce, and every leg introduces new unknowns. Our mission is bold: deliver a fully trusted journey from purchase to safe return home. That’s hard and exactly why science and technology matter most. If you’re energized by complex, high‑impact problems with no obvious answers, and want to shape the future of risk with AI on a global scale, join us. Let’s redefine how the world travels, safely, confidently, and at speed. 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, all to fuel our employees' passion for travel and ensure a rewarding career journey
• 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