Software Development Engineer III - AI Engineer

About the role

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.

Responsibilities

• Build and operate cloud-native decisioning and automated remediation systems, 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 Service Level Objectives (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.

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 Large Language Models (LLMs) 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 Large Language Model (LLM) providers such as OpenAI, Gemini, and Anthropic.

Qualifications

• 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

• Strong hands-on experience in at least one modern programming language.
• Experience with distributed cloud-native engineering at scale (AWS, GCP, or Azure).
• Experience with microservices, API-driven design, SQL/NoSQL databases, and data streaming/processing (Kafka, Flink, Spark).
• Experience with AI coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot, or equivalent).
• Experience with RAG-based architectures, including data orchestration frameworks such as LlamaIndex, vector databases such as Pinecone, or equivalent.
• Experience with various Large Language Model (LLM) providers such as OpenAI, Gemini, and Anthropic.

Benefits and Perks

• Medical, dental, and vision coverage.
• Paid time off.
• An Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts.
• IATAN membership.

Pay

The total cash range for this position in Austin is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Schedule

This role requires employees to be in-office at least three days a week.

Application Instructions

Please visit https://careers.expediagroup.com/jobs/ to apply for this role.