Staff Software Engineer (AI, Fullstack)

TL;DR

Staff Software Engineer (AI, Fullstack): Designing and building foundational web platform capabilities that connect customer data with communication channels, driving architectural improvements to hirify.global's MarTech stack. Focus on transforming a Headless CMS into an AI-driven personalization engine and architecting high-performance frontend systems that predict user intent.

Location: Remote for specific locations: Denver, San Francisco, New York, Los Angeles, Seattle (USA) and Toronto (Canada). Employees in these locations are expected to work from the office approximately 2-3 days per week.

Salary: $185,000–$275,000 USD or $200,000–$250,000 CAD depending on location.

Company

hirify.global is a product company on a mission to grow the small business economy by handling payroll, health insurance, 401(k)s, and HR.

What you will do

• Architect customer-facing web platforms for AI-driven personalization and intelligent experimentation.
• Build and maintain integrations with the MarTech stack (Segment, Braze) to create AI model feedback loops.
• Implement and optimize caching strategies across the delivery stack (CDN, edge).
• Write high-quality, well-tested frontend code leveraging AI-powered tools and techniques.
• Support and mentor engineers, establishing best practices for AI-native design patterns.
• Partner cross-functionally to translate business needs into technical solutions and contribute to the MarTech platform roadmap.

Requirements

• 8+ years of experience building web systems with modern frontend technologies and headless CMS architectures.
• Experience applying AI tools to accelerate frontend development and build intelligent user experiences.
• Experience building modern frontend applications with technologies such as React, Typescript, and Next.js.
• Experience with web performance, CDNs, and advanced caching strategies.
• Experience integrating with MarTech systems (CDPs, CRMs, orchestration tools).
• Strong systems thinking, written communication, and collaboration skills.

Nice to have

• Hands-on experience designing or implementing product experiences incorporating ML/AI (e.g., personalization engines, recommendation systems).
• Experience with generative AI or LLMs, particularly for content personalization or intelligent customer-facing agents.
• Familiarity with building frontend components of data feedback loops for AI model retraining.

Culture & Benefits

• Mission-driven company supporting over 400,000 small businesses.
• Focus on quality, observability, and uptime for intelligent growth systems.
• Collaborative environment partnering with Marketing, Sales, Growth R&D, and Operations.
• Total Rewards philosophy.
• Commitment to diversity, equity, and inclusion.