Staff Software Engineer (AI)

Location: Remote; applicants must be authorized to work for any employer in the U.S.

Salary: $190,000–$220,000 in the San Francisco Bay Area and New York City; $171,000–$198,000 in Tier 2 metropolitan markets; $152,000–$176,000 in Tier 3 regional markets.

Company

hirify.global is an education technology company helping frontline employees and managers improve productivity, retention, customer experience, and professional growth through enterprise partnerships.

What you will do

• Lead large, cross-team feature releases from design through production as a senior individual contributor.
• Own technical direction for an engineering pod, including architecture, system design, technical documentation, and delivery trade-offs.
• Advance AI-native engineering practices through shared AI patterns, tools, evaluation harnesses, agentic workflows, and AI code review.
• Drive testing, staged rollouts, observability, security, SOC2 controls, vulnerability management, and incident response improvements.
• Mentor engineers, provide thorough code reviews, influence hiring, and collaborate with product, design, and cross-functional partners.

Requirements

• 7+ years of professional software engineering experience with a strong track record as a senior engineer.
• Expertise in one or more technical areas and proficiency across a broad range of others.
• Experience leading cross-team projects and shipping systems that other engineers depend on.
• Deep familiarity with modern web application stacks similar to Ruby on Rails, React, JavaScript/TypeScript, Python, Docker, PostgreSQL, and AWS.
• Experience operating production systems containing customer data, including security and compliance work in a SaaS environment.
• Current hands-on AI practice, including examples of how AI changed software scoping, development, and review.
• Experience building AI tooling such as skills, MCP servers, context files, evaluation harnesses, or multi-step agentic workflows that other engineers adopted.
• Experience shipping production AI features where an LLM is a first-class component, including evaluation, observability, and cost management.
• Ability to rigorously verify AI output, identify failure modes, and implement checks to detect them; must lead through influence, handle ambiguity, remain calm under pressure, and act on feedback.
• Must be authorized to work for any employer in the U.S.

Culture & Benefits

• Remote-first culture with flexible paid time off and paid holidays.
• Transparent, social, mission-driven environment with challenging work, fast learning cycles, practical training, and meaningful feedback.
• Employer-paid medical, dental, vision, life, short-term disability, and long-term disability insurance, with partial partner and dependent coverage.
• Health, commuter, and parking flexible spending accounts, an Employee Assistance Program, and wellbeing apps.
• Generous paid parental leave, an annual professional development budget, a company-provided laptop, and a 401(k).

Hiring process

• The process may include fraud detection and identity verification, including IP monitoring, AI-generated video detection, live skills assessments, and identity verification during interviews.
• Depending on the role, candidates may need to complete an in-person interview or additional identity verification before receiving an offer.