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About the Role

Expedia Global Payments (EGP) is seeking engineering talent to develop its payment platform, introduce new payment methods, and enhance operational excellence. This role involves building and operating cloud-native decisioning and automated remediation systems for AI-powered fraud and abuse defenses on a global scale, simplifying the platform, and collaborating with cross-functional teams.

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.
• Apply AI-assisted SDLC practices end to end: AI-accelerated design and code generation, prompt and context management for coding agents, human-in-the-loop review of AI-generated code, automated test generation, and CI/CD guardrails.
• Build, deploy, and operate agentic workflows and multi-agent systems — decomposing tasks, orchestrating tools and function calls, managing memory, and embedding human-in-the-loop controls — to automate and reimagine manual operational processes, not just augment them.
• Help simplify and modernize the platform (streaming/data pipelines, microservices, CI/CD, configuration-driven controls) so that teams can iterate quickly and safely.
• Implement and maintain SLOs, observability, and safety/rollback mechanisms for the services you own, ensuring security, privacy, and compliance requirements are met by design.
• Participate in evaluating vendors and in-house solutions for performance, cost, and risk posture, contributing data and implementation perspectives into the decision process.
• 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.

Requirements

• Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
• 5+ years of software engineering, with significant experience building and operating high-scale production backend services, including shipping Gen AI and agentic systems to production.
• 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).
• Hands-on experience using AI coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot, or equivalent) to ship production software faster — applying AI-assisted SDLC practices across design, implementation, reviews, and test generation, with strong prompt/context management and human-in-the-loop review of AI-generated code.
• 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.
• Track record automating and reimagining manual operational processes with agentic systems, reducing manual operations through automation and platform simplification.
• Experience building and integrating applications with AI/ML solutions or LLM models, including model API consumption, RAG patterns, agentic orchestration, and connecting AI-driven outputs to scalable backend services with observability and cost-awareness.
• Graph/sequence modeling or entity resolution at scale; device and behavioral signals.
• Experience with cloud cost/performance tuning and capacity planning.
• Marketplace, travel, or e-commerce experience.

Skills

• Software Engineering
• Backend Services
• Gen AI
• Agentic Systems
• System Design (LLD)
• API Design
• Data Modeling
• Cloud-Native Engineering (AWS, GCP, Azure)
• Microservices
• SQL/NoSQL Databases
• Data Streaming/Processing (Kafka, Flink, Spark)
• AI Coding Assistants
• Prompt Management
• LLM Applications
• Multi-Agent Applications
• LangChain
• LangGraph
• Langfuse
• RAG Architecture
• LlamaIndex
• Vector Databases (Pinecone)
• OpenAI
• Gemini
• Anthropic
• Graph/Sequence Modeling
• Entity Resolution
• Cloud Cost/Performance Tuning
• Capacity Planning

Location

• Austin, TX

Work Type

• Hybrid

Experience Level

• 5+ years of software engineering
• Senior-level

Education Level

• Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.

Salary/Compensations

• $146,000.00 - $204,500.00
• Potential to increase pay up to $233,500.00 based on performance

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Employee Assistance Program
• Wellness and travel reimbursement
• Travel discounts
• International Airlines Travel Agent Network (IATAN) membership

About the Company

• Expedia Group helps travelers explore the world with confidence and ease through its consumer brands (Expedia, Hotels.com, Vrbo), B2B travel business, and travel advertising offerings.
• Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.

Equal Opportunity

• 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
• This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.