Senior Software Development Engineer (AI)

TL;DR

Senior Software Development Engineer (AI): Leads the architecture and delivery of real-time, AI-powered fraud and abuse defenses on a global scale with an accent on designing cloud-native decisioning and automated remediation systems. Focus on incorporating Generative and Agentic AI into fraud detection workflows, building and deploying ML in production, and ensuring security, privacy, and compliance.

Location: Based in Seattle, Washington, United States with a flexible work model. Must have US work authorization.

Salary: $184,500–$258,000 (annual, Seattle)

Company

hirify.global brands power global travel for everyone, everywhere, designing cutting-edge tech and groundbreaking solutions for partners.

What you will do

• Lead architecture and delivery of AI-driven fraud and abuse defenses on a global scale.
• Incorporate and integrate Generative and Agentic AI into fraud detection workflows.
• Benchmark various vendor, open source, and in-house solutions for performance, cost, and risk posture.
• Build, deploy, and operate ML in production, partnering closely with Data Science/ML Scientists.
• Establish clear SLOs, observability, and safety/rollback mechanisms; ensure security, privacy, and compliance are built in.
• Mentor other engineers and champion the use of AI within the organization.

Requirements

• 9+ 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 (e.g., LangChain, LangGraph, Langfuse).
• RAG-based architecture experience (e.g., LlamaIndex, Pinecone) and exposure to various LLM providers (e.g., OpenAI, Gemini, Anthropic).
• Production ML experience (supervised/anomaly detection, feature pipelines, online inference, monitoring/retraining).
• Strong coding skills in one or more of Java, Scala, Go, or Python.
• 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).

Nice to have

• Proven experience building and operating either fraud and risk systems or other similarly ML/AI heavy systems in production.
• Graph/sequence modeling or entity resolution at scale; device and behavioral signals.
• Track record reducing manual operations via automation and platform simplification.

Culture & Benefits

• Fosters an open culture where everyone belongs, differences are celebrated, and success is shared.
• Provides a full benefits package including exciting travel perks and generous time-off.
• Offers parental leave, a flexible work model, and career development resources.
• Includes a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

Hiring process

• If you need assistance with any part of the application or recruiting process due to a disability, reach out to the Recruiting Accommodations Team.