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2 дня назад

Senior Principal AI Engineer (AI Agents)

249 000 - 443 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Principal AI Engineer (AI Agents): Architecting and leading the development of transformative AI agents for HR and Finance platforms with an accent on LLM orchestration, RAG, and enterprise-grade scalability. Focus on defining technical strategy, multi-agent collaboration, and ensuring system reliability within the hirify.global ecosystem.

Location: Must be based in the USA. This is a hybrid role requiring at least 50% of time spent in the office or in the field per quarter.

Salary: $249,000–$443,000 USD

Company

A Fortune 500 leader in enterprise cloud applications for finance and human resources, focused on building intelligent AI-driven solutions.

What you will do

  • Architect AI-powered agents that integrate deeply into HR and Financial workflows.
  • Evaluate and select AI frameworks, tools, and platforms to ensure scalability and compliance.
  • Define best practices for agent design, security, and governance in enterprise applications.
  • Collaborate with product, engineering, and data science teams to implement AI-based automation.
  • Develop strategies for multi-agent collaboration and effective user interaction.
  • Establish monitoring and continuous learning mechanisms to improve agent performance.

Requirements

  • 12+ years of experience in product engineering for highly available cloud products.
  • 7+ years of experience in AI, machine learning, or intelligent automation.
  • Deep understanding of LLMs, AI agents, and orchestration frameworks like LangGraph.
  • Proficiency in Python and cloud AI services (AWS, Azure, GCP).
  • Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
  • Must be authorized to work in the USA.

Nice to have

  • Masters or Doctorate degree in Computer Science, Mathematics, or Engineering.
  • Hands-on experience with vector databases, RAG, and fine-tuning LLMs.
  • Experience with data collection, labeling, and model validation pipelines.

Culture & Benefits

  • Flexible work approach with a focus on intentional in-person collaboration.
  • Comprehensive benefits package including health insurance and retirement plans.
  • Opportunities for professional growth and skill development.
  • Culture rooted in integrity, empathy, and shared enthusiasm.
  • Annual refresh stock grants and bonus plan eligibility.

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