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10 дней 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): Architecting and scaling AI-powered healthcare technology solutions with an accent on LLMs, agentic workflows, generative AI, NLP, and computer vision. Focus on defining AI engineering strategy, building production-ready applications, mentoring engineers, and ensuring security, scalability, cost optimization, and observability.

Location: WI Milwaukee Main Campus; the job must be performed at the listed location.

Company

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

What you will do

  • Define and execute an AI engineering strategy across teams and projects.
  • Architect and scale AI-enhanced systems using LLMs, agentic workflows, composable architectures, and real-time AI workflows.
  • Lead cross-functional initiatives incorporating NLP, computer vision, and generative AI into products.
  • Mentor engineers in AI-first development methodologies and technical best practices.
  • Implement AI-powered developer tools and bridge AI research with production-ready applications.
  • Partner with leadership on AI adoption roadmaps, technical trade-offs, security, scalability, and observability.

Requirements

  • 5+ years of software engineering experience, including 3+ years leading AI-powered application development.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
  • Proven experience developing, deploying, and scaling AI-powered applications using open models or APIs.
  • Expertise in AI-first architectures, including microservices, event-driven systems, and real-time AI workflows.
  • Hands-on experience with LLMs, agentic AI models, autonomous workflows, AI model deployment, cost optimization, and fine-tuning.
  • Strong understanding of security, compliance, and ethical considerations in AI development.

Nice to have

  • Experience leading AI-first engineering transformations across teams.
  • Contributions to open-source AI projects, AI thought leadership, conferences, or research initiatives.
  • Experience with agentic AI frameworks, composable AI solutions, and MLOps best practices.
  • Cloud-native AI deployment experience with Docker, Kubernetes, and cloud platforms.

Culture & Benefits

  • Full-time employment.
  • Generous benefits package.
  • Opportunity to shape AI-first engineering practices across multiple teams.

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