Lead Fullstack Engineer (AI)

TL;DR

Lead Fullstack Engineer (AI): Building AI-powered developer and user experiences across the hirify.global ecosystem with an accent on generative UI, AI/ML, and platform engineering. Focus on ensuring scalability, extensibility, and deep integration with hirify.global’s unified data and AI foundation.

Location: For roles in San Francisco and Los Angeles

Company

hirify.global is building the next generation of AI-powered developer and user experiences across the hirify.global enterprise ecosystem.

What you will do

• Drive the AXL (Agentic Experience Layer) vision by applying AI/ML and platform engineering expertise to enable scalable, production-grade generative UI capabilities.
• Lead the design and delivery of complex, highly ambiguous features, owning architecture, execution, and quality across one or more Scrum teams.
• Define and evolve core platform services and orchestration frameworks for AI-driven UI composition, ensuring reliability, performance, and extensibility.
• Partner closely with Product, UX, and senior engineering leaders to translate business and user needs into robust technical solutions.
• Champion engineering excellence through design reviews, code reviews, test strategies, and quality metrics.
• Mentor and raise the technical bar across the team, contributing to hiring, onboarding, and the development of a strong, inclusive engineering culture.

Requirements

• Experience: 8+ years of professional experience developing and shipping large-scale enterprise applications.
• Full Stack Expertise: Deep expertise across the full stack, including modern JavaScript/TypeScript frameworks (e.g., LWC, React) and designing/implementing scalable distributed services (e.g., Java, Node.js).
• System Design: Proven track record designing and maintaining large-scale, fault-tolerant distributed systems and RESTful or streaming APIs.
• Generative Systems: Experience or strong interest in Generative AI, Large Language Models (LLMs), or integrating AI capabilities into product user flows.
• Engineering Excellence: Strong command of software development best practices, including design patterns, observability, performance tuning, and robust testing strategies.
• Technical Leadership: Experience mentoring junior engineers, driving code quality standards, and leading complex cross-functional projects.

Culture & Benefits

• Building the next generation of AI-powered developer and user experiences.
• Standardize and operationalize generative UI, transforming AI output into reliable, composable UI metadata.
• Drive innovation from core services all the way to responsive, intelligent user interfaces.