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Senior AI Engineer (AI Platform)

188 000 - 235 000$
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

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TL;DR
Senior AI Engineer (AI Platform): Responsible for architecting and driving the execution of core AI capabilities that power the platform with an accent on delivering AI-native products. Focus on hardening cutting-edge AI systems into robust, scalable, and high-performance production systems.

Location: New York, NY, United States

Base salary: $188,000–$235,000 USD per year, plus bonus, equity, and benefits.

Company

hirify.global is a global data and AI platform that helps investment professionals turn complex financial information into actionable intelligence.

What you will do

  • Drive end-to-end delivery of AI-native products from prototypes to scalable production services.
  • Architect and build core AI platform components involving LLMs, vector databases, prompt tuning, and agentic frameworks.
  • Develop agent capabilities such as MCP, cross-platform tool use, web browsing, and computer use.
  • Enforce technical discipline and operational excellence across AI products.
  • Evaluate performance, incorporate user feedback, and adopt new AI technologies and frameworks.
  • Partner with product managers and engineering teams to turn strategic goals into production-ready systems.

Requirements

  • 3–6+ years of professional backend software engineering experience.
  • Expertise with Python, Golang, gRPC, AWS, and Kubernetes.
  • Experience owning and shipping complex, production-grade systems.
  • Experience shipping and maintaining AI-native products or features, or significant personal AI projects.
  • Bachelor’s or master’s degree in computer science, statistics, mathematics, or another quantitative field, or equivalent experience.
  • Strong ownership, execution, and rapid iteration skills.

Nice to have

  • Experience with LLMs and agentic systems.
  • Hands-on experience with Databricks, LangChain, or MLflow.
  • Advanced understanding of the probabilistic systems behind modern LLMs.
  • Experience building AI products in accuracy-sensitive domains such as finance.

Culture & Benefits

  • Values ownership, collaboration, client focus, innovation, and continuous learning.
  • Compensation includes base salary, bonus, equity, and benefits.
  • Inclusive workplace with reasonable accommodations available during hiring and employment.
  • Supports investment professionals and firms across 60 countries through a global platform.

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