Senior Software Development Engineer - Agentic AI
Listed on 2026-06-18
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Software Development
AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software
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.
WhatYou Will Do
- 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.
- 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.
- Experience building agentic AI applications and agents from the ground up, with strong hands‑on depth in frameworks such as Lang Graph or similar orchestration patterns for agent development.
- Demonstr…
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