Senior Software Development Engineer - Agentic AI Experience

Expedia Group•Austin, TX

1d•$184,500 - $295,000

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. Introduction to Team 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. This Senior Software Developer role is part of the Agentic AI experience team which sits within our Technology division. The Agentic AI experience team builds deeply integrated, AI-powered experiences that transform traveler and partner interactions into proactive, autonomous, multimodal journeys, leveraging Expedia Group’s unique first-party data to deliver effortless discovery, decision‑making, and trip management with superior outcomes. As a Senior Software Developer, you will design, build, and evolve high‑quality software solutions that power these AI-driven travel experiences and directly enhance how millions of travelers and partners explore, book, and manage their trips.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
8+ years (Bachelor's) or 6+ years (Master's) of professional software development experience building and operating production services or applications at scale.
Demonstrated ability to lead architecture and high-level design for complex, multi-service platforms, managing cross-system dependencies, defining resilient integration patterns, performing failure-mode analysis, and establishing clear service and data contracts.
Proficiency in at least one modern programming language (such as Java, Kotlin, C#, Python, or similar) and proven ability to set coding standards and own quality definition, measurement, and review cadence across a team or domain.
Demonstrated experience leading AI/ML adoption and integration across complex production systems, defining measurement and evaluation strategies, proactively managing model and operational risks, and designing scalable feedback mechanisms—including human-in-the-loop and automated retraining approaches—to drive continuous improvement and business impact.

Nice To Haves

Experience building agentic AI applications and agents from the ground up, with strong hands-on depth in frameworks such as LangGraph or similar orchestration patterns for agent development.
Demonstrated expertise in prompt engineering, understanding LLM behavior, and making practical model-selection tradeoff decisions across available providers and model types based on product needs.
Experience designing and evaluating agentic architecture patterns, including multi-agent and skill-based architectures, and determining which approach best fits a given use case or customer problem.
Hands-on experience building or integrating AI/ML‑enabled solutions in production (such as retrieval-augmented generation, intelligent agents, recommendation or decision systems), with strong focus on safety, guardrails, monitoring, and continuous improvement.
Demonstrated expertise in architecting and scaling AI-centric services using modern engineering practices, including prompt and policy management, evaluation and observability frameworks, agent orchestration, and governance controls.
Experience applying these capabilities across diverse products and domains, enabling the safe, reliable, and effective deployment of AI/ML-powered solutions that drive measurable impact.

Responsibilities

Lead team-level design and development across the domain, driving high-level system design (HLD) for complex cross-service dependencies, establishing data architecture and measurable outcomes, and delivering technical solutions across a multi-year horizon.
Partner closely with Product, Engineering, and other technical stakeholders to frame and solve complex business and technical challenges.
Leverage data-driven decision-making, incorporate long-term data strategy into solution design, and drive initiatives from concept through measurable outcomes.
Champion the adoption and integration of AI/ML capabilities across critical systems.
Design and implement continuous learning and feedback mechanisms, including human-in-the-loop workflows, automated evaluation pipelines, and retraining strategies, while collaborating with MLS and Product teams to maximize customer and business impact.
Drive operational excellence at domain scale, owning operational backlogs, establishing regular domain reviews, and tracking reliability and improvement metrics across the services you lead.
Lead incident response and major production events.
Influence broadly within the domain, collaborating with peers, Principal Engineers, and product stakeholders to align technical direction and priorities.
Play a key role in producing the domain technical vision and establishing inner-sourcing engagements with other teams.
Develop engineering talent and strengthen organizational capabilities through mentorship, technical coaching, design leadership, and knowledge sharing.
Establish engineering best practices, author reusable patterns and guidance, lead design reviews, and elevate technical excellence across teams and the broader domain.