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17 часов назад

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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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer (AI): Building and scaling AI-enhanced web, mobile, and server-based healthcare products with an accent on AI integration, intelligent APIs, and production-grade system architecture. Focus on integrating LLMs, agentic workflows, computer vision, and generative models while optimizing cost, infrastructure, performance, and observability.

Location: Durham, NC, United States; the job is to be performed in the listed location.

Company

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

What you will do

  • Lead and mentor engineers in AI-first development methodologies and technical best practices.
  • Architect and scale secure, high-performance AI-enhanced applications and systems.
  • Integrate chatbot assistants, image-based diagnostics, automated content creation, LLMs, agentic workflows, and autonomous AI systems into production products.
  • Design and optimize AI-driven APIs and microservices connecting models, applications, and databases.
  • Drive adoption of LLM-augmented development environments, automation frameworks, observability, and monitoring systems.
  • Guide architectural decisions, balance execution speed with innovation, and connect technical choices to business and financial impact.

Requirements

  • 5–7+ years of software development experience, including 2+ years developing AI-powered or AI-integrated applications.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
  • Hands-on experience deploying AI applications using models or APIs such as Hugging Face, OpenAI, or Anthropic.
  • Proficiency with Microsoft development environments, including Visual Studio and VS Code, plus AWS or Azure cloud services.
  • Strong understanding of AI model cost optimization, infrastructure scaling, performance tuning, and production reliability.
  • Proven ability to mentor engineers and lead AI-first engineering transformations.

Nice to have

  • Experience with agentic AI frameworks such as LangChain or AutoGPT.
  • Open-source AI contributions, AI research, conference participation, or other industry thought leadership.
  • Experience with AI-powered UI/UX development and human-computer interaction.
  • Strong proficiency in Docker, Kubernetes, and cloud-native AI deployments.
  • Experience with unit testing, integration testing, and AI-driven problem-solving.

Culture & Benefits

  • Cross-functional agile environment focused on high-quality, scalable software solutions.
  • Opportunity to influence technical direction and promote innovation through AI-first engineering.
  • Generous benefits package.

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