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2 часа назад

Backend Engineer (AI)

250 000 - 300 000$
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

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TL;DR
Backend Engineer (AI): Building the backend systems for an AI-powered assistant, including agentic workflow orchestration, multi-provider LLM infrastructure, and identity and knowledge layers with an accent on real-time personalization, reliability, and scalable distributed systems. Focus on architecting agent networks, trust and autonomy systems, and cost-sensitive non-deterministic AI workloads.

Location: On-site in San Francisco or NYC, five days per week

Salary: $250K–$300K per year

Company

hirify.global develops an AI-powered assistant that connects to email, calendars, Slack, documents, and other tools to execute workflows on a user's behalf.

What you will do

  • Build the orchestration layer for agentic workflows and multi-provider LLM infrastructure.
  • Develop AI-native experiences for email, calendars, and contacts.
  • Design the identity and knowledge layer powering personalized interactions.
  • Architect agent networks and trust and autonomy systems.
  • Own backend services and technical direction end to end in a greenfield environment.

Requirements

  • Experience building and scaling backend systems through a company's high-growth stage, with concrete product scaling examples.
  • Ability to define technical direction in ambiguous, fast-moving environments.
  • Strong systems thinking across distributed systems, data pipelines, APIs, and reliability.
  • Experience with LLM infrastructure, agentic systems, or real-time AI workloads in production.
  • Willingness to work in person five days per week in San Francisco or NYC.

Culture & Benefits

  • Foundational role with direct influence over architecture decisions.
  • End-to-end service ownership without a separate platform team.
  • Work on non-deterministic, cost-sensitive LLM workloads and real-time personalization.
  • Focus on trajectory and demonstrated impact rather than tenure.

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