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11 дней назад

AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
AI Engineer (Applied AI/Cloud): Building and operating customer-facing AI systems for healthcare workflows with an accent on full-lifecycle delivery, production reliability, and product collaboration. Focus on designing AI-based solutions, evaluating and deploying frontier models, and scaling maintainable applications with Python, C#, TypeScript, Docker, Terraform, and AWS.

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

Company

hirify.global builds products and AI systems that support senior care and the people who deliver it.

What you will do

  • Design, build, deploy, and operate AI systems in customer-facing production environments.
  • Translate ambiguous customer and business problems into prototypes and technical specifications.
  • Evaluate AI capabilities and apply them to workflows where they create clear leverage.
  • Own product discovery, experimentation, evaluation, deployment, monitoring, and long-term system maintainability.
  • Make system design and scaling decisions while building legible codebases and improving development tooling.
  • Partner with product managers to develop AI-native product solutions.

Requirements

  • 2+ years of experience in software engineering or applied AI.
  • Strong applied AI and software engineering fundamentals.
  • Experience using AI development tools in full-stack applications and designing AI-based solutions for real workflows.
  • Working knowledge of cloud platforms and frontier AI platforms.
  • Ability to work with high autonomy, ownership, product judgment, and customer feedback.
  • Productive technologies include Python, C#, TypeScript, PostgreSQL, Docker, Terraform, AWS, and frontier model ecosystems.

Nice to have

  • Degree in Computer Science, Engineering, Data Science, or a related field.
  • Experience operating AI systems in production, including evaluation, cost, and performance tradeoffs.
  • Experience in early-stage startups, forward-deployed engineering, or internal product teams.
  • Experience with large-scale Python, C#, and TypeScript codebases.
  • Experience integrating AI into established products or working with healthcare, regulated, or sensitive data.

Culture & Benefits

  • High autonomy and ownership focused on outcomes rather than deliverables.
  • Emphasis on shipping, iteration, customer feedback, and continuous improvement.
  • Direct collaboration with customers and product teams.
  • Generous benefits package.

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