
Online travel company
Software Development Engineer III (AI) at Expedia Group
About the role
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.
Job Description:
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.
As a Software Development Engineer III for EG Finance AI platform engineering team, you will own the end-to-end technical execution of AI products, from solution design through production scale. This role requires deep hands-on expertise across ML engineering, LLMs, software systems, and AI platforms, with a strong focus on building reusable, scalable AI capabilities.
You will work closely with Product Managers and Engineers to deliver AI systems that are trusted, explainable, and production ready.
This role requires deep hands-on expertise across software engineering, ML, LLMs, and MLOps.
In this role, you will:
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Design and build end-to-end AI products and deployment pipelines.
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Own technical architecture for AI workflows including prompt engineering, RAG, and agentic systems
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Develop and review backend services, APIs, and data pipelines powering AI products
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Translate complex Finance problems into scalable AI system designs
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Ensure AI solutions meet standards for performance, reliability, security, and governance
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Drive production readiness including monitoring, logging, evaluation, and cost control
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Establish best practices for AI development, deployment, and maintenance
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Partner closely with Product and stakeholders to shape technical solutions
Experience and Qualifications:
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Strong hands-on expertise in Python and SQL; Java preferred
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5+ years of development experience in an enterprise-level engineering environment increasing levels of technical expertise.
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Proven experience building and deploying ML / AI / LLM-powered systems in production
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Deep understanding of prompt engineering, RAG architectures, and agentic workflows
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Experience with modern LLMs and frameworks such as OpenAI, Claude, Gemini, Llama, Lang Chain, Langflow, Llama Index, Semantic Kernel
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Strong software engineering background: API design, distributed systems, system integration
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Experience with data platforms, semantic modeling, and time-series logic
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Good knowledge of Data Structures and Algorithm.
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Solid understanding of cloud-native architectures, containers, and CI/CD pipelines
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Experience with MLOps concepts such as monitoring, evaluation, and lifecycle management
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Understanding of AI security, auditability, and compliance considerations
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Ability to rapidly learn and apply new AI tools and technologies
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AI products are designed and built for adoption across Finance teams
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Systems scale reliably and are reusable across multiple use cases
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AI solutions meet enterprise standards for trust, explainability, and governance
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Technical execution consistently delivers measurable business impact
Please note that this role is only available in the following locations: Gurugram or Bengaluru, in alignment with our flexible work model which requires employees to be in-office at least three days a week. Relocation assistance will be considered for candidates relocating to these locations for this role.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Required skills
Machine learning
LLMs
Software engineering
AI platforms
System design
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About Expedia Group

Expedia Group
PublicExpedia Group, Inc. is an American travel technology company that owns and operates travel fare aggregators and travel metasearch engines, including Expedia, Hotels.com, Vrbo, Travelocity, Hotwire.com, Orbitz, Ebookers, CheapTickets, CarRentals.com, Expedia Cruises, Wotif, and Trivago.
10,001+
Employees
Seattle
Headquarters
$6.8B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
4.2
Career
3.3
Management
2.5
68%
Recommend to a friend
Pros
Supportive team and colleagues
Flexible work arrangements and remote options
Interesting and creative projects
Cons
Work-life balance challenges and long hours
High stress and burnout during peak seasons
Fast-paced and overwhelming environment
Salary Ranges
1 data points
Intern
Intern · Machine Learning Scientist Intern
1 reports
-
total per year
Base
-
Stock
-
Bonus
-
Interview experience
6 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Coding Challenge
4
Final Interview
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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