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Applied AI Engineer (Voice AI)

150 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied AI Engineer (Voice AI): Building and implementing Speech AI models for diverse customers with an accent on custom prototypes, technical onboarding, and production troubleshooting. Focus on bridging the gap between cutting-edge AI research and real-world applications to solve complex audio-processing challenges.

Location: Must be located in or willing to relocate to New York City or San Francisco

Salary: $150,000 - $250,000 OTE

Company

hirify.global builds best-in-class Voice AI models powering the next generation of voice applications.

What you will do

  • Guide customers through the entire product journey from initial implementation and onboarding to production deployment.
  • Build custom demos and prototypes that showcase how Speech AI models can solve specific customer use cases.
  • Lead technical discovery sessions with prospects to design optimal implementations.
  • Troubleshoot production issues for streaming and async APIs, debugging code across various languages like Java, Go, and Ruby.
  • Serve as the voice of the customer to Product and Research teams to influence the feature roadmap.
  • Contribute to technical documentation, guides, and open-source reference implementations.

Requirements

  • Must be based in or willing to relocate to New York City or San Francisco.
  • 4+ years of customer-facing experience in highly technical environments (e.g., Solutions Architect, Developer Advocate).
  • Strong programming skills in Python and/or TypeScript/JavaScript.
  • Experience with web APIs, WebSockets, and real-time data streaming.
  • Ability to leverage AI-assisted development tools like Claude, Cursor, or Windsurf for rapid prototyping.
  • Willingness to travel domestically and internationally (approximately 10-25% of the time).

Nice to have

  • Experience in a startup or high-growth environment.
  • Understanding of cloud infrastructure (AWS, GCP, Azure) and deployment patterns.
  • Experience building MVPs and prototypes quickly.
  • Public speaking or conference presentation experience.

Culture & Benefits

  • True meritocracy with high ownership and minimal bureaucracy.
  • Lean, high-revenue-density team where individual contributions have outsized impact.
  • Remote-first culture with physical office space available in NYC for collaboration.
  • Opportunities to represent the company at major AI/tech conferences and industry events.

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