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3 дня назад

AI Engineer (LLMs)

230 000 - 270 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
AI Engineer (LLMs): Building and deploying applied AI prototypes, MVPs, and lightweight services for investment, operating, and portfolio teams with an accent on LLMs, embeddings, NLP, and unstructured data. Focus on model experimentation, evaluation, fine-tuning, translating ambiguous business problems into usable AI products, and communicating technical trade-offs to non-technical stakeholders.

Location: United States; New York preferred, with Chicago also considered

Salary: $230,000–$270,000 compensation; the conditions section states $230,000–$250,000.

Company

hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies.

What you will do

  • Build AI-powered prototypes and MVPs for internal business users and portfolio-related use cases.
  • Develop solutions using LLMs, embeddings, NLP, and unstructured data.
  • Support model experimentation, evaluation, fine-tuning, and applied ML workflows.
  • Build lightweight backend services and simple user interfaces where needed.
  • Partner with business and technical stakeholders to turn ambiguous problems into useful AI products.
  • Contribute to early tooling, infrastructure, engineering practices, and clear communication of technical trade-offs.

Requirements

  • Strong Python skills and a solid computer science foundation.
  • Hands-on experience with applied machine learning, LLMs, embeddings, NLP, or related AI systems.
  • Familiarity with PyTorch, HuggingFace, or similar model development tools.
  • Experience moving projects beyond experimentation into usable products or workflows, including practical prototype or MVP development.
  • Ability to work independently while learning from senior technical and business leaders.
  • Clear communication with technical and non-technical stakeholders.
  • Interest in applying AI to business, investment, and operational problems.
  • Comfort operating in an early, still-forming AI function.

Nice to have

  • Exposure to LLMs, embeddings, NLP, fine-tuning, or applied ML workflows.
  • Experience with lightweight full-stack MVP development.

Culture & Benefits

  • Permanent position working directly with senior AI leadership.
  • Exposure to high-impact AI applications across an investment firm and its portfolio companies.
  • Opportunity to help shape how AI is built, deployed, and adopted across the business.

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