Staff AI Enablement Engineer (AI)

TL;DR

Staff AI Enablement Engineer (AI/LLM Infrastructure): Building and scaling internal AI platforms and agentic workflows across the organization with an accent on LLM integration, evaluation frameworks, and productivity tooling. Focus on designing robust testing pipelines for AI quality and safety, and transitioning AI prototypes into scalable production environments.

Location: Hybrid in San Francisco, CA

Company

hirify.global is a fintech company focused on accelerating AI-powered capabilities to scale their payment and operational infrastructure.

What you will do

• Design and maintain the core AI platform, including LLM integration infrastructure, prompt management, and evaluation pipelines.
• Embed AI capabilities into core products such as payments, risk decisioning, and fraud detection.
• Establish and own evaluation standards for AI systems to assess quality, safety, latency, and reliability.
• Lead technical discovery and prototyping for new foundation models and agentic architectures.
• Drive internal adoption by creating reusable libraries, patterns, and enablement resources for engineering teams.
• Collaborate with cross-functional stakeholders to influence the technical roadmap and strategic AI conversations.

Requirements

• 8+ years of software engineering experience.
• 3+ years focusing on AI/ML systems, LLM infrastructure, or applied ML in production environments.
• Deep hands-on experience with RAG, fine-tuning, prompt engineering, and multi-step agentic workflows.
• Experience operating at Staff+ scope, driving decisions across multiple teams and mentoring engineers.
• Track record of taking AI capabilities from prototype to production in high-reliability environments.
• Must be based in San Francisco, CA for a hybrid work arrangement.