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6 часов назад

Fullstack AI Engineer

175 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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
Fullstack AI Engineer (AI/Infrastructure): Building AI systems for taste evaluation, data pipelines, and agent architectures with an accent on synthetic data generation and retrieval infrastructure. Focus on creating reliable, scalable tools for frontier models and gamified product experiences in an early-stage startup environment.

Location: San Francisco (On-site)

Salary: $175,000 – $300,000

Company

hirify.global is building the data and infrastructure layer for taste, aiming to improve AI judgment and creativity.

What you will do

  • Craft agent harnesses, memory, and self-improvement loops.
  • Design evaluation pipelines and synthetic data generation systems.
  • Create embedding and retrieval infrastructure that scales to millions of requests.
  • Build crawling and scraping systems for visual data across the web.
  • Set up inference serving and APIs for client-facing products.
  • Ship internal data operations tools and external gamified product experiences.

Requirements

  • Must be based in San Francisco for on-site work.
  • Proven experience building at early-stage companies (pre-seed to Series C).
  • Real-world AI building experience, including shipping agent systems and working with LLMs.
  • Ability to operate effectively in ambiguous, undefined problem spaces.
  • Strong creative problem-solving skills and a desire to invent new infrastructure.

Nice to have

  • Open source contributions or personal projects demonstrating curiosity.
  • Background at creative companies like Figma, Notion, Canva, Adobe, or Runway.
  • Experience with index building, crawling, or data-heavy platforms.

Culture & Benefits

  • High ownership and autonomy in an early-stage startup environment.
  • Opportunity to work on cutting-edge AI infrastructure and evaluation systems.
  • Competitive compensation with equity flexibility.

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