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1 день назад

Staff Software Engineer, Agent Development (AI)

300 000 - 430 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff Software Engineer (AI): Leading the technical direction and development of a full-stack platform for building and optimizing AI agents, with an accent on scalable architecture and intuitive self-serve tools. Focus on transforming complex AI capabilities into accessible products, driving cross-functional initiatives, and mentoring engineers.

Location: Hybrid (San Francisco)

Salary: $300,000–$430,000 + Equity

Company

hirify.global is a leading conversational AI platform empowering brands to deliver concierge customer experiences, backed by world-class investors.

What you will do

  • Drive technical direction for the Agent Building platform, establishing scalable patterns and architecture.
  • Lead complex initiatives from ambiguous requirements to shipped products.
  • Create AI-powered tools enabling non-technical teams to manage sophisticated workflows.
  • Build monitoring and analytics to surface actionable insights for agent improvement.
  • Partner directly with customers and cross-functional teams to identify opportunities.
  • Mentor engineers and elevate team practices through design and knowledge sharing.

Requirements

  • 6+ years building full-stack software products with demonstrated impact on technical direction.
  • Deep expertise in TypeScript and/or Python, with strong architecture and system design skills.
  • Proven ability to design elegant abstractions and platforms for diverse use cases.
  • Track record of leading technical initiatives and driving consensus across teams.
  • Experience balancing technical excellence with rapid iteration and customer needs.
  • Strong product intuition and history of translating user feedback into technical solutions.

Nice to have

  • Experience building and scaling developer tools, APIs, platforms, or infrastructure products.
  • Familiarity with LLMs, AI agent systems, prompt engineering, or building products on top of AI capabilities.
  • Familiarity with asynchronous programming and building scalable systems.
  • Experience with observability, data visualization, or analytics products.
  • History of establishing technical standards, design patterns, or architectural principles adopted across teams.

Culture & Benefits

  • In-office company driven by values such as 'Just Get It Done' and 'Winner’s Mindset'.
  • Comprehensive medical, dental, and vision benefits.
  • Flexible "take what you need" vacation policy.
  • Daily lunches, dinners, and snacks provided in the office.

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