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6 часов назад

AI Engineer

150 000 - 225 000$
Формат работы
hybrid
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
AI Engineer (AI/LLM): Building AI-powered product capabilities and agentic chat systems for an event marketing intelligence SaaS platform with an accent on LLMs, RAG, data, and scalable AI infrastructure. Focus on designing agents that reason and act across user workflows, deploying reliable multi-tenant AI systems, and establishing observability, evaluation, and guardrail frameworks.

Location: Hybrid, New York, NY; work from the NYC HQ

Salary: $150K–$225K base salary, plus equity and bonus

Company

hirify.global is a Series B SaaS company building an AI-driven platform for event marketing intelligence and meeting programs.

What you will do

  • Research and apply AI agents, LLMs, RAG, embeddings, and supervised or unsupervised learning to create product capabilities.
  • Translate business problems into AI solutions that improve user workflows, accelerate insights, and deliver measurable value.
  • Own the architecture and integration of agentic chat across the platform, enabling agents to reason, take action, and surface insights.
  • Define patterns for agent interaction with internal data, external tools, and user workflows.
  • Architect scalable, reliable, multi-tenant AI infrastructure for a growing B2B SaaS product.
  • Own observability, evaluation frameworks, and guardrails while partnering with product, data science, application engineering, and leadership.

Requirements

  • 4+ years of professional software engineering or data engineering experience, including 3+ years building AI/ML-driven products.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience with modern AI frameworks such as HuggingFace or LangChain and data pipeline tools such as Airflow or Dagster.
  • Experience with AWS, GCP, or Azure cloud infrastructure.
  • Production experience with LLMs and generative AI, including prompt engineering, RAG, and LLM deployment.
  • Strong foundations in data science and machine learning, with proven experience shipping user-facing features and collaborating across technical and product teams.

Culture & Benefits

  • Competitive base salary, bonus, and equity.
  • Medical, dental, and vision healthcare coverage.
  • Unlimited paid time off.
  • Two company-wide shutdowns during the July 4th week and the Christmas–New Year week.
  • Equal opportunity workplace open to candidates from non-traditional backgrounds.

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