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12 часов назад

Software Engineer (AI)

125 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
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
Software Engineer (AI) (Python/Voice AI): Building and improving AI-powered voice experiences for patients and providers with an accent on backend services, real-time conversations, and production reliability. Focus on debugging live calls, integrating transcription, LLMs, and APIs, and improving latency, observability, and conversation quality.

Location: Hybrid

Base salary: $125K–$160K per year, plus equity. Compensation depends on experience level.

Company

hirify.global is an early-stage healthcare startup building an AI-powered care navigation platform for health systems in the U.S. and MENA region.

What you will do

  • Build and ship features for AI-powered voice experiences.
  • Debug issues from real patient calls and improve system behavior.
  • Work with transcription, LLM, and API components of a production voice stack.
  • Improve latency, reliability, and conversation quality.
  • Contribute to testing, monitoring, and observability.
  • Collaborate with product to improve the user experience.

Requirements

  • 2–3 years of software engineering experience.
  • Strong programming skills, with Python preferred.
  • Experience building backend systems, APIs, or services handling real user requests.
  • Product mindset with attention to user experience and outcomes.
  • Comfort with ambiguity, problem-solving, and a fast-paced environment.

Nice to have

  • Exposure to AI/ML or LLM-based applications.
  • Experience with real-time systems or APIs.
  • Interest in voice systems or conversational AI.
  • Experience at a startup or on a small team.

Culture & Benefits

  • Full-time employment in the Engineering department.
  • Hybrid work format.
  • Equity participation.
  • Opportunity to build systems that directly affect patient access to care.
  • Hands-on learning with production AI systems and experienced engineers.

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