Software Development Engineer III - AI Engineer

Traveltechessentialist; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Travel discounts

Employee Assistance Program

Job summary

Traveltechessentialist is seeking a Software Development Engineer III to create AI-driven fraud and abuse defenses. In this role, you will work with a global team to build cloud-native systems while collaborating closely with various departments.

This position requires over 5 years of experience in software engineering and a strong background in machine learning and AI solutions. The job is based in Austin, TX, with in-office requirements of at least three days a week.

Benefits include comprehensive medical coverage, paid time off, wellness reimbursement, and travel discounts.

Qualifications

• 5+ years of software engineering experience with ML/AI solutions.
• Experience with LLM and multi-agent applications.
• Hands-on proficiency in modern programming languages.

Responsibilities

• Design and implement AI-powered fraud protection systems.
• Deploy and operate ML capabilities in production.
• Collaborate with cross-functional teams to ensure quality.

Skills

Software engineering

Machine learning

AI-driven solutions

Distributed cloud-native engineering

System design

Education

Bachelor’s degree in Computer Science or related field

Tools

LangChain

AWS

Kafka

Job description

Role Summary

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

• 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.
• Build, deploy, and operate ML‑powered capabilities in production, partnering closely with Data Science/ML Scientists on features, experimentation, and monitoring.
• Incorporate and integrate Generative and Agentic AI into fraud detection and remediation workflows to reduce time to detect and mitigate attacks.
• Help simplify and modernize the platform (streaming/data pipelines, microservices, CI/CD, configuration‑driven controls) so that teams can iterate quickly and safely.
• Participate in evaluating vendors and in‑house solutions for performance, cost, and risk posture, contributing data and implementation perspectives into the decision process.
• Implement and maintain 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.

Minimum Qualifications

• Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
• 5+ years of software engineering, including significant experience developing, deploying and operating ML/AI driven solutions in production.
• Demonstrable 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.
• Production ML experience (supervised/anomaly detection, feature pipelines, online inference, monitoring/retraining); ability to ship with Data Science/ML Science partners.
• 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).

Preferred Qualifications

• Proven experience building and operating either fraud and risk systems in production, or other similarly ML/AI heavy systems.
• Graph/sequence modeling or entity resolution at scale; device and behavioral signals.
• Track record reducing manual operations via automation and platform simplification.
• Experience with cloud cost/performance tuning and capacity planning.
• Marketplace, travel, or e‑commerce experience.

Location

This role is only available in Austin, TX. The role requires employees to be in‑office at least three days a week; relocation assistance is not offered.

Benefits

We provide a full benefits package, including medical/dental/vision, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

Equal Opportunity Employer

Expedia Group 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, or veteran status. 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.