Senior Staff Software Engineer (AI)

Location: San Diego, California, United States

Base pay: $205,500–$277,500 per year, with potential bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Architect scalable, secure, maintainable, and interoperable customer success platforms.
• Contribute hands-on across the software lifecycle while setting architecture and technical strategy.
• Resolve complex cross-team technical problems across onboarding, value realization, partner, and growth and retention domains.
• Define engineering standards, reference architectures, and production measures for AI impact, reliability, and safety.
• Design evaluation, observability, and guardrail frameworks for responsible AI and agentic system integrations.
• Partner with Customer Success experts, Product, Design, Operations, and senior business leaders to shape the roadmap and improve customer outcomes.

Requirements

• 12+ years of experience building web, software, or data-intensive applications, with Senior Staff-level or higher technical leadership experience.
• Expert proficiency in at least one object-oriented language, including Java/J2EE or C#.
• Experience architecting analytical and customer-centric platforms at scale and making design decisions across distributed systems.
• Hands-on experience shipping AI/ML capabilities to production, ideally including LLM-based or agentic systems, retrieval-augmented generation, prompt and context engineering, agent memory, evaluation, and guardrails.
• Ability to influence technical direction across teams and communicate complex trade-offs to senior product and business leaders.
• Bachelor's or master's degree in Computer Science, or equivalent practical experience.

Culture & Benefits

• Work closely with Product, Design, Customer Success Operations, and the experts who use the platform.
• Hands-on technical leadership with opportunities to mentor Staff and senior engineers and develop AI engineering capabilities.
• Competitive compensation with performance-based rewards.
• Potential cash bonus, equity rewards, and employee benefits.