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3 дня назад

Senior Staff Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Staff Software Engineer (AI): Leading the architecture and development of scalable, AI-powered systems across multiple platforms and healthcare product lines with an accent on LLM integration, cloud-native design, and responsible AI. Focus on shaping cross-platform architecture, guiding model lifecycle management, mentoring senior engineers, and solving complex distributed-systems and reliability challenges.

Location: NC Durham Office

Company

hirify.global builds healthcare technology products, solutions, and platforms designed to improve the lives of seniors and their caregivers.

What you will do

  • Lead the architecture and development of scalable, AI-powered systems across multiple platforms and product lines.
  • Guide investments in AI platforms, model lifecycle management, and responsible AI usage.
  • Set strategic technical direction with engineering and product leaders.
  • Establish engineering practices covering design, security, performance, and reliability.
  • Evaluate emerging technologies, including LLMs, autonomous systems, and next-generation development tools.
  • Mentor senior and staff engineers and lead cross-functional initiatives with measurable business outcomes.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is preferred.
  • 10+ years of software engineering experience, including 3+ years leading cross-platform architecture.
  • Experience building AI-enhanced, cloud-native systems.
  • Strong understanding of distributed systems, performance optimization, and system reliability.
  • Proven experience mentoring engineers and driving architectural direction across teams.
  • Ability to work from the Durham, North Carolina office.

Nice to have

  • Experience with large-scale systems using LLMs, generative AI, or ML pipelines.
  • Certifications in AWS, GCP, or related architecture and AI tools.
  • Master’s degree in Computer Science, Engineering, or a related field.

Culture & Benefits

  • Full-time employment.
  • Generous benefits package.
  • Opportunity to influence AI-first engineering strategy and business-critical platforms.

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