Senior Machine Learning Engineer (AI/LLM)

TL;DR

Senior Machine Learning Engineer (AI/LLM): Building and optimizing an intelligent and proactive assistant for hirify.global, focusing on the end-to-end ML and agent architecture. Focus on establishing trustworthy execution for high-trust actions, raising answer quality, and driving improvements in quality, latency, cost, and availability of AI/ML systems at global scale.

Location: Must be based in South San Francisco HQ, New York, or Seattle, US.

Salary: $212,000–$318,000 annual US base salary.

Company

hirify.global is a financial infrastructure platform for businesses, enabling millions of companies to accept payments, grow revenue, and accelerate new business opportunities.

What you will do

• Own the end-to-end ML and agent architecture for the hirify.global Assistant, ensuring safety, reliability, and usefulness.
• Establish trustworthy, human-in-the-loop execution for high-trust "write" actions, prioritizing user control and accountability.
• Define and evolve the Assistant’s capability and governance model across various tools and agents.
• Raise answer quality and usefulness by grounding responses in authoritative hirify.global knowledge and live user data.
• Explore and apply optimal machine learning methods to improve hirify.global Assistant’s overall performance (e.g., fine-tuning LLMs, RAG optimization).
• Establish rigorous evaluation and SLOs, driving sustained improvements in quality, latency, cost, and availability.
• Lead as a tech lead, mentoring engineers and upholding high standards for code quality, security, and operational rigor.

Requirements

• 5+ years in AI/ML and backend engineering.
• Applied LLM experience including RAG/embeddings, tool use/function calling, agentic planning, and fine-tuning.
• Proficient in Python with strong distributed systems fundamentals.
• Experience working closely with product management, design, and other cross-functional partners.

Nice to have

• Experience operating ML systems at global scale with stringent SLOs.
• Experience building products where AI/ML is a core component.
• Track record building ML platforms that enable multiple teams to collaborate.
• Strong technical leadership and communication skills.