Machine Learning Engineer V (AI)

TL;DR

Machine Learning Engineer V (AI): Building and scaling foundational agentic platform capabilities for hirify.global's AI-first tax compliance products with an accent on LLM orchestration, reliability, and production-grade system design. Focus on establishing reusable frameworks, evaluation practices, and operational standards to accelerate the delivery of agentic solutions across the enterprise.

Location: Must be based in the United States

Company

hirify.global is an industry-leading cloud compliance platform defining the relationship between tax and technology, processing billions of API calls annually.

What you will do

• Design and operate foundational agentic platform capabilities to move AI experiences from prototype to production.
• Develop scalable LLM application frameworks, orchestration patterns, and tool integrations.
• Create evaluation methods for agentic outcomes including quality, accuracy, latency, and safety.
• Translate complex business needs into technical designs and production-ready features.
• Mentor engineers and raise technical standards through design and code reviews.
• Partner with cross-functional teams to ensure agentic capabilities solve meaningful customer problems.

Requirements

• Must be based in the United States
• B.S. in Computer Science, Engineering, or a related field.
• 8+ years of professional experience in building and operating production software systems.
• Strong proficiency in Python and experience with cloud environments like AWS, Azure, or GCP.
• Hands-on experience building LLM applications, agentic systems, or AI-enabled workflows.
• Deep understanding of distributed systems, design patterns, and high-availability operations.

Culture & Benefits

• Competitive compensation package with eligibility for performance bonuses.
• Comprehensive health and wellness benefits including private medical, life, and disability insurance.
• Generous paid time off and paid parental leave.
• Strong commitment to diversity, equity, and inclusion with active employee resource groups.
• AI-first engineering culture with a focus on innovation and professional growth.