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5 дней назад

Experienced Engineer (AI)

220 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Experienced Engineer (AI): Building intelligent pipeline generation systems that combine business data, AI agents, and automation with an accent on company intelligence, data enrichment, prospect discovery, and customer-facing product experiences. Focus on designing scalable full-stack systems, developing agentic workflows, leading substantial engineering projects, and maintaining high reliability and performance.

Location: On-site in San Francisco, USA; Wednesdays work from home.

Salary: $220K–$300K plus equity.

Company

hirify.global is building an AI-powered CRM that develops a living model of how businesses operate by learning from emails, meetings, and customer conversations.

What you will do

  • Lead engineering projects for intelligent pipeline generation, prospect discovery, and automated customer engagement.
  • Build systems that ingest, enrich, and connect company, people, relationship, and behavioral data from diverse sources.
  • Develop AI-driven research and agentic workflows for research, list building, personalized outreach, and follow-up.
  • Design intuitive customer-facing experiences for complex data and AI capabilities.
  • Build reliable, scalable, high-performance systems with strong observability, metrics, and operational practices.
  • Lead technical design, mentor engineers, recruit teammates, and establish engineering best practices.

Requirements

  • 7+ years of experience building and shipping software products.
  • Strong full-stack engineering skills and the ability to ramp quickly on TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.
  • Strong product judgment, analytical thinking, and the ability to turn ambiguous customer problems into effective solutions.
  • Hands-on technical leadership experience, including independently scoping, planning, and driving substantial projects.
  • High standards for reliability, performance, maintainability, and product quality.
  • Computer Science education or equivalent industry experience, plus clear communication with technical and non-technical colleagues.

Nice to have

  • Experience building intelligent systems and product experiences with LLMs.

Culture & Benefits

  • Meaningful early equity and competitive compensation.
  • Medical, dental, and vision insurance.
  • Three weeks of paid time off, 11 paid company holidays, and a winter holiday break.
  • Three months of paid family leave and a 401(k) plan.
  • Regular team dinners, events, offsites, and retreats.
  • Commuter and lunch stipends.

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