Staff Software Engineer - AI Applications

Location: Menlo Park, California, United States, or Seattle, Washington, United States. Base pay depends on assigned U.S. region: Region A $220,000–$275,000, Region B $198,000–$247,500, or Region C $187,200–$234,000.

Salary: $187,200–$275,000 USD annual base pay, depending on U.S. compensation region. Bonus and equity awards may also be available.

Company

hirify.global is an AI-native performance advertising company providing AI-powered advertising and retail media platforms for mobile app marketers, retailers, and marketplaces.

What you will do

• Build AI-powered products and tools that improve internal efficiency, internal-to-customer experiences, and eventually end-customer experiences.
• Own greenfield products end-to-end, from identifying problems through launch and ongoing operations.
• Develop shared AI foundations, including hosting for AI-developed applications, key management, spend caps, permissions, provisioning, guardrails, security, and standards.
• Redesign critical workflows around generative AI, including customer lifecycle, recruiting, planning, and forecasting workflows.
• Evaluate, consolidate, and selectively replace SaaS with AI-first custom solutions.
• Set technical direction, influence stakeholders and leadership, and help multiple teams build autonomously.

Requirements

• 8+ years of professional software engineering experience with a track record of owning complex, cross-functional systems end-to-end.
• Deep hands-on experience architecting production-scale LLM-powered applications, including agentic systems, RAG, or tool-using assistants, with understanding of latency, cost, reliability, and quality trade-offs.
• Experience with agent frameworks or orchestration, such as LangGraph or custom agent loops, and multi-step reasoning systems.
• Experience designing evaluation and monitoring systems for AI products that other team members adopt and build on.
• Strong systems design skills, including defining architectures and technical standards for shared infrastructure, guardrails, and APIs.
• Fluency across frontend, backend, and infrastructure, with judgment about where to work deeply and where to delegate.
• Experience influencing technical direction beyond the immediate team through engineering standards, senior engineer mentoring, or product-area technical strategy.
• Ability to independently identify high-leverage problems and build conviction with stakeholders and leadership.

Nice to have

• Experience building or leading internal AI platform capabilities such as key management, spend caps, permissioning, and hosting for AI-developed applications.
• Experience leading SaaS rationalization or build-versus-buy initiatives involving AI-first custom replacements.
• Experience redesigning critical business workflows around AI, such as recruiting, customer lifecycle, planning, or forecasting.
• Prior platform or infrastructure-adjacent experience combined with strong product instincts.
• Public or internal thought leadership on agent architectures, evaluations, or applied LLM engineering practices.
• Comfort operating with minimal process, setting technical direction in a greenfield environment, and shaping team practices as they scale.

Culture & Benefits

• U.S.-based employees receive medical, dental, and vision insurance, a 401(k) plan with company match, disability coverage, basic life insurance, and well-being benefits.
• Up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter for U.S.-based employees.
• Flexible Time Off is available to all employees.
• The company emphasizes humility, growth, experimentation, disciplined trade-offs, collaboration, and creating durable value.

Hiring process

• Interview participants are expected to engage without AI assistance unless a round specifically assesses AI use.
• Candidates should review the AI Use in Interviews Policy before interviewing.