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2 дня назад

Forward Deployed Engineer (AI)

220 000 - 270 000$
Формат работы
hybrid
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
Forward Deployed Engineer (AI): Building and deploying customer-facing integrations, applications, APIs, and AI-enabled workflows for manufacturing quality intelligence with an accent on hands-on software engineering, messy enterprise data, and customer problem discovery. Focus on scoping ambiguous use cases, validating model and software behavior, designing reliable deployments, and creating reusable delivery practices for a new FDE team.

Location: Hybrid in New York, NY or San Francisco, CA; 25–50% travel required

Salary: $220K–$270K annually, plus equity

Company

hirify.global develops an AI-powered quality intelligence platform that helps industrial, aerospace, consumer, and medtech manufacturers identify, investigate, and resolve quality issues.

What you will do

  • Work with customer business and technical teams to identify valuable use cases and define scope, acceptance criteria, and delivery plans.
  • Design and build data integrations, business logic, APIs, applications, and AI-enabled workflows.
  • Deliver production software with tests, clear interfaces, access controls, and deployment approaches aligned with Engineering.
  • Validate outputs against source data and business rules, evaluate AI behavior, and confirm accuracy, usability, and business value with users.
  • Monitor deployments, resolve issues, document systems, and establish ongoing support models.
  • Partner with account, Product, and Engineering teams to turn successful customer solutions into reusable practices and capabilities.

Requirements

  • Strong software engineering fundamentals and experience personally shipping and maintaining production software.
  • Ability to work independently across backend and application logic, data models, APIs, testing, debugging, reliability, permissions, and failure cases.
  • Experience with Python and SQL, plus full-stack development using TypeScript, React, or comparable tools.
  • Experience with enterprise data and API integrations, applied AI or agent workflows, and rigorous evaluation.
  • Ability to understand ambiguous customer problems, communicate with technical and nontechnical stakeholders, and take ownership of outcomes.
  • Experience in manufacturing, quality, reliability, supply chain, or service operations is particularly valuable.

Culture & Benefits

  • Work on AI technology used to improve manufacturing quality and customer outcomes.
  • Collaborative, mission-driven environment with direct communication, frequent feedback, and high ownership.
  • Generous time off and respect for personal boundaries and recharge.
  • Competitive compensation, equity, and benefits.
  • Fast-moving environment focused on action, impact, and sustainable excellence.

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