Principal Software Development Engineer (AI)

TL;DR

Principal Software Development Engineer (AI): Leading the architecture and delivery of real-time, AI-powered fraud and abuse defenses on a global scale with an accent on cloud-native decisioning and automated remediation systems. Focus on designing and simplifying the platform to align cross-functional teams to measurable outcomes.

Location: Must be based in the United States - Washington - Seattle

Salary: $231,000.00 to $369,500.00

Company

hirify.global brands power global travel for everyone, everywhere.

What you will do

• Own end-to-end architecture for low-latency risk decisioning (signals + rules + models) and automated remediation.
• Build, deploy, and operate ML in production; partner closely with DS/ML on features, experimentation, and monitoring.
• Simplify and modernize the platform (streaming/data pipelines, microservices, CI/CD, configuration-driven controls) to speed safe iteration.
• Drive build-vs-buy evaluations and benchmark vendors against in-house solutions for performance, cost, and risk posture.
• Establish clear SLOs, observability, and safety/rollback mechanisms; ensure security, privacy, and compliance are built in.
• Mentor senior engineers and align Product, Ops, Security, and Compliance on roadmap and outcomes.

Requirements

• 10+ years of software engineering, including 4+ years leading architecture for real-time, high-scale systems.
• Proven experience building and operating fraud/risk systems in production, with measurable impact on losses, false positives, and manual effort.
• Production ML experience (supervised/anomaly detection, feature pipelines, online inference, monitoring/retraining); ability to ship with DS/ML partners.
• Cloud-native engineering at scale (AWS, GCP, or Azure): event-driven services, data/stream processing, observability, cost and reliability best practices.
• Strong coding skills in one or more of Java/Scala/Go/Python; microservices, APIs, and infrastructure-as-code.
• Security, privacy, and regulatory fundamentals for sensitive data and risk decisioning.

Nice to have

• LLM/agentic techniques applied to fraud (e.g., investigation assist, pattern discovery, automated playbooks) and retrieval over enterprise data.
• Graph/sequence modeling or entity resolution at scale; device and behavioral signals.
• Track record reducing manual operations via automation and platform simplification.
• Hands-on with experimentation platforms and real-time rules/model simulation/back testing.
• Deep cloud cost/performance tuning and capacity planning.

Culture & Benefits

• Full benefits package, including exciting travel perks and generous time-off.
• Parental leave, a flexible work model (with some pretty cool offices), and career development resources.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
• Open culture where everyone belongs and differences are celebrated.