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1 день назад

AI Engineer, Analyst – Data Analytics & AI

80 000 - 140 000$
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, Analyst – Data Analytics & AI (Python, SQL, LLMs): Building production AI solutions, retrieval pipelines, agentic workflows, and evaluation tooling for alternative asset management workflows with an accent on scalable software engineering and business-led discovery. Focus on deploying reliable AI systems under real user load, translating workflow friction into prioritized initiatives, and moving proofs of concept into supported production deployments.

Location: New York, United States

Salary: $80,000–$140,000 annual base salary

Company

hirify.global is a global 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

  • Embed with business units, shadow live workflows, and identify practical AI use cases across alternative asset management teams.
  • Translate workflow friction into prioritized self-service quick wins and larger platform initiatives.
  • Develop and maintain production software using Python and SQL with a focus on quality, scalability, reliability, and security.
  • Build applied AI solutions including agentic workflows, retrieval pipelines, evaluation tooling, runbooks, and prompt libraries.
  • Use Git, CI/CD, Docker, Terraform, and cloud deployment technologies to ship and operate solutions.
  • Lead multiple projects, deliver training, and transition proofs of concept into supported production deployments.

Requirements

  • 1+ year of experience in AI engineering, software engineering, or data analysis, with fluency in Python and SQL.
  • Applied experience with LLMs and AI tooling, including prompt engineering, fine-tuning, agentic workflows, retrieval, or model evaluation.
  • Experience shipping and maintaining production systems under real user load.
  • Proficiency with software development lifecycle tools, including version control, CI/CD, containerization, and cloud deployment technologies.
  • Experience collaborating with non-technical stakeholders, defining project scope, managing priorities, and communicating with technical and business audiences.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or Economics.

Nice to have

  • Experience working within a financial technology team, especially in alternative asset management, private wealth, or fund distribution.
  • Ability to ramp quickly on unfamiliar tools and technology stacks with minimal supervision.

Culture & Benefits

  • Fast-paced, entrepreneurial environment with open, iterative design and rapid development.
  • Active mentoring, collaboration, and opportunities to make an impact from the start.
  • Medical, dental, vision, and FSA benefits.
  • Paid time off, life insurance, 401(k), and discretionary bonuses.
  • Some employees may be eligible for equity and other incentive compensation.

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