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3 часа назад

Blackstone Credit & Insurance - AI Engineer, Principal (AI)

215 000 - 250 000$
Формат работы
onsite
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

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TL;DR
Blackstone Credit & Insurance - AI Engineer, Principal (AI): Building AI prototypes, internal research and assessment tools, and AI-powered applications to support portfolio company strategy and execution with an accent on foundation models, agent frameworks, RAG architectures, and production AI systems. Focus on rapidly assessing unfamiliar architectures, evaluating implementation partners, and translating technical findings into defensible strategic recommendations for senior stakeholders.

Location: San Francisco, United States

Expected annual base salary: $215,000–$250,000, plus discretionary bonuses and potential equity or other incentive compensation.

Company

hirify.global is an alternative asset manager with investment strategies spanning real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.

What you will do

  • Assess portfolio companies’ architectures, data assets, infrastructure, and technical talent, translating findings into strategic insight and internal memos.
  • Build rapid prototypes to validate proposed strategic moves across the AI engagement lifecycle.
  • Build and maintain internal tools for research automation, assessment templates, tracking, and reusable workflow components.
  • Lead technical diligence on implementation partners and monitor delivery during active engagements.
  • Participate in working sessions with portfolio company teams alongside the AI Executive.

Requirements

  • 5+ years of experience building AI/ML systems in production environments.
  • Fluency in foundation models, agent frameworks, RAG architectures, vector databases, and evaluation frameworks.
  • Strong Python engineering skills and experience building APIs and AI-powered applications.
  • Experience shipping AI-enabled products or features to real users.
  • Familiarity with AWS, GCP, or Azure and production deployment.
  • Ability to rapidly assess unfamiliar technical systems, form defensible architectural views, and communicate effectively with senior audiences.

Nice to have

  • Experience with Model Context Protocol or agent-facing API design.
  • Familiarity with SaaS or enterprise software businesses.
  • Experience in consulting, investing, technical diligence, private equity, credit, or portfolio operations.

Culture & Benefits

  • Comprehensive medical, dental, vision, and FSA benefits.
  • Paid time off and life insurance.
  • 401(k) plan.
  • Discretionary bonuses, with potential equity and other incentive compensation for eligible employees.
  • No prior financial services experience is required.

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