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5 часов назад

Fullstack Engineer (AI)

160 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
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
Fullstack Engineer (AI): Building user-facing functionality, backend APIs, and AI-native workflows for an enterprise IT service and configuration management platform with an accent on scalable services, graph-based architecture, and enterprise security. Focus on integrating LLM capabilities, shaping the frontend and backend stack, and designing distributed systems for millions of users.

Location: On-site in NYC, NY, five days a week at the Flatiron District, Manhattan office

Salary: $160,000–$230,000 USD per year

Company

hirify.global is a seed-stage AI-native startup building an enterprise IT service and configuration management platform using AI, graph-based architecture, and design.

What you will do

  • Design, implement, test, and deploy user-facing features and backend APIs end to end.
  • Work across frontend, backend, and database layers while helping define the technology stack.
  • Integrate AI and LLM capabilities into IT service management workflows.
  • Build performant, secure, and scalable services for enterprise customers.
  • Collaborate with platform engineering, product, and design on infrastructure and user experience.
  • Improve developer productivity through internal tooling, code quality, CI/CD, security, and compliance practices.

Requirements

  • Experience in fullstack engineering or end-to-end software ownership in SaaS products serving enterprise customers.
  • Frontend experience with React, Vue, Angular, or a similar modern framework, including design systems and performant UI development.
  • Backend proficiency in Python, Go, Rust, C++, or a similar modern language, with experience designing REST or GraphQL APIs and distributed systems.
  • Hands-on experience with relational databases such as PostgreSQL or MySQL; graph or other non-relational database experience is beneficial.
  • Strong experience with AWS, GCP, or Azure and familiarity with CI/CD, Docker, Kubernetes, and Terraform.
  • Degree in Computer Science, Engineering, or a related field and a pragmatic, product-driven approach.

Nice to have

  • Experience integrating AI or LLM capabilities into applications.
  • Exposure to IT service management or enterprise workflows.
  • Experience taking products from 0 to 1.

Culture & Benefits

  • Opportunity to build foundational features for an AI-first enterprise platform.
  • Ownership of critical systems designed to scale to millions of users.
  • Culture focused on craftsmanship, autonomy, and technical excellence.
  • Competitive compensation, equity, and benefits package.
  • Collaborative, in-person work alongside the founding team.

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