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5 часов назад

AI Engineer (SaaS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/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 (SaaS): Building and scaling agentic AI capabilities and LLM-driven features for an event marketing intelligence platform with an accent on RAG, agent architecture, and production-grade infrastructure. Focus on designing systems that allow AI agents to reason and take action across the product to drive measurable business value.

Company

hirify.global is a Series B SaaS company building a category-defining platform for event marketing intelligence, backed by top-tier investors like FirstMark.

Location: Hybrid role based in New York, NY

What you will do

  • Research and apply modern AI methods including agents, LLMs, and RAG to power new product capabilities.
  • Architect and integrate agentic chat capabilities throughout the platform, enabling AI to reason and take action.
  • Build multi-tenant AI infrastructure that meets performance, latency, and cost requirements for a B2B SaaS product.
  • Own observability, evaluation frameworks, and guardrails to ensure production-grade AI features.
  • Partner with product, data science, and engineering teams to translate business requirements into scalable AI systems.

Requirements

  • 4+ years of professional software or data engineering experience, with 3+ years building AI/ML-driven products.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience with modern AI frameworks like LangChain or HuggingFace and data pipelines like Airflow or Dagster.
  • Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure).
  • Proven track record of shipping user-facing features with measurable impact.
  • Ability to balance research and engineering tradeoffs in a fast-paced environment.

Nice to have

  • Startup experience is preferred.

Culture & Benefits

  • Opportunity to work on a category-defining platform with proprietary data.
  • Collaborative environment with leaders from top-tier tech companies.
  • Commitment to equal opportunity and inclusive workplace culture.

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