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2 дня назад

Founding AI Engineer

250 000 - 350 000$
Формат работы
remote (только USA)/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

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TL;DR
Founding AI Engineer (LLMs/ML infrastructure): Building production AI applications, evaluation frameworks, testing tools, scalable ML services, and APIs with an accent on measurable, testable, and dependable language-model systems. Focus on fine-tuning and evaluating modern language models, identifying failure modes, and shipping reliable software across the full ML lifecycle.

Location: United States; listed arrangements include onsite positions in San Francisco, San Mateo, and the San Francisco Bay Area, as well as a remote position associated with Houston headquarters.

Salary: $250,000–$350,000 annually, plus equity and bonus.

Company

hirify.global is hiring for an early-stage, well-funded AI startup building dependable AI technology for enterprise customers.

What you will do

  • Build production applications and systems powered by LLMs.
  • Develop evaluation frameworks to measure model quality and behavior.
  • Create automated testing and validation tools for AI systems.
  • Build scalable ML infrastructure, services, and APIs.
  • Run experiments and fine-tune modern language models to improve performance.
  • Develop tools to identify weaknesses and failure modes, and ship reliable software across the full ML lifecycle.

Requirements

  • Experience building and shipping production software systems.
  • Hands-on experience with machine learning and LLMs.
  • Experience evaluating, training, or fine-tuning modern language models.
  • Strong Python engineering skills.
  • Experience deploying ML systems into production.
  • Ability to turn ambiguous problems into working solutions and make sound technical decisions with incomplete information.

Culture & Benefits

  • Meaningful equity alongside a competitive salary and bonus.
  • Early-stage ownership and direct influence over product and architecture.
  • Direct collaboration with experienced founders on difficult, unsolved AI problems.
  • Ownership of projects from initial concept through production.
  • Opportunity to help establish engineering culture and technical standards.
  • Potential to grow into a senior technical leadership position as the team expands.

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