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1 день назад

Principal AI Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
c1
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

Principal AI Engineer (AI): Building 0 → 1 AI native products and leveraging latest LLM advances to solve complex technical problems with an accent on scalable AI agents and reasoning models. Focus on designing multi-year technical roadmaps, implementing RLHF, and deploying production-grade AI systems.

Location: Mountain View, California or New York, New York

Company

hirify.global is a global financial technology platform powering prosperity for over 100 million customers through products like TurboTax, QuickBooks, and Mailchimp.

What you will do

  • Shape and execute a multi-year technical roadmap to integrate emerging AI technologies.
  • Build end-to-end AI solutions to drive transformative customer experiences.
  • Collaborate with business units and platform teams for rapid testing and deployment of new capabilities.
  • Ensure excellence in data quality, model evaluation, and lifecycle management through rigorous MLOps.
  • Champion responsible AI practices to ensure models are fair, transparent, and trustworthy.
  • Mentor AI talent and contribute to the field via publications, patents, and open source.

Requirements

  • Degree in Computer Science, Statistics, Applied Mathematics, Physics, or a related discipline.
  • Deep expertise in training LLMs, reasoning models, multi-modal models, and scalable AI agents.
  • 8+ years of experience developing and deploying AI solutions at scale.
  • Hands-on fluency with AI coding tools such as Claude Code, Cursor, or Codex.
  • Strong fundamentals in data structures, algorithms, and MLOps practices.

Nice to have

  • Experience building large-scale Machine Learning applications on cloud platforms like AWS, GCP, or Azure.

Culture & Benefits

  • Competitive compensation package with a strong pay-for-performance approach.
  • Eligibility for cash bonuses and equity rewards.
  • Commitment to fair pay across ethnicity and gender.
  • Access to rich data and production-grade AI platforms for rapid research-to-impact.

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