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3 дня назад

Applied AI Engineer (LLM)

160 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Applied AI Engineer (LLM): Designing and scaling prompt systems, agentic workflows, and LLM-based application architectures with an accent on retrieval-augmented generation, evaluation pipelines, and reusable developer tooling. Focus on shipping production LLM products, building multi-agent and tool-use systems, and applying responsible AI principles to enterprise applications.

Location: 100% remote within the United States

Salary: $160,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Define and lead strategies, design patterns, and tooling for prompts, agentic workflows, and LLM-based application architectures.
  • Ship LLM-powered products to production and guide the responsible application of modern LLM techniques.
  • Build reusable evaluation frameworks and pipelines for non-deterministic AI systems.
  • Develop developer tooling and scalable patterns for multiple teams and use cases.
  • Mentor engineers and influence technical direction across the organization.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field.
  • 10 or more years of software engineering experience, including significant experience with LLM-based applications.
  • Deep familiarity with modern LLM APIs, agent frameworks, retrieval-augmented generation, embeddings, and vector databases.
  • Strong Python skills and experience with modern application frameworks.
  • Understanding of responsible AI, safety, and policy considerations.
  • Must be authorized to work in the United States; new H-1B visa petitions cannot be sponsored.

Nice to have

  • Public writing, conference talks, or open-source contributions focused on LLM application development.
  • Experience with multi-agent architectures, complex tool-use systems, and fine-tuning workflows.
  • Experience in customer support, coding assistant, analytics agent, or enterprise software domains.
  • Experience integrating LLMs into enterprise systems with strict compliance requirements.

Culture & Benefits

  • Established organization with opportunities for career growth.
  • Work on cloud, AI, data, and enterprise technology solutions.
  • Collaborate across multiple teams and organizational use cases.

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