Назад
Company hidden
1 день назад

Senior AI Engineer (AI)

188 000 - 242 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior AI Engineer (AI): Building and deploying AI-powered tools and pipelines across business functions to create step-change improvements with an accent on production-grade LLM infrastructure and agent frameworks. Focus on designing evaluation frameworks, implementing observability for AI systems, and navigating organizational complexity to move prototypes into production.

Location: Hybrid in New York, New York

Salary: $188,000 - $242,000 per year

Company

hirify.global provides HR, payroll, and benefits software to help small and medium businesses focus on their core growth.

What you will do

  • Identify high-leverage AI opportunities across business functions and own the full lifecycle from scoping to handoff.
  • Build AI tools and pipelines using frontier models, agent frameworks, and LLM infrastructure as core building blocks.
  • Design and implement evaluation frameworks (evals) to measure the meaningful utility and performance of AI systems.
  • Instrument AI systems for observability, including logging, tracing, and cost tracking using tools like Datadog or LangSmith.
  • Collaborate with non-engineering stakeholders to align technical execution with business needs and operational gaps.
  • Research emerging AI capabilities and translate market patterns into actionable internal briefs.

Requirements

  • 6+ years of professional hands-on software engineering experience.
  • Must be based in or able to work from the New York City office (Hybrid).
  • 2+ years of experience building production-ready LLM systems, agent frameworks, or retrieval systems.
  • Proven track record of designing and running evals for AI systems to prove utility.
  • Experience with LLM observability tooling (e.g., LangSmith, Datadog).
  • Strong communication skills for explaining technical tradeoffs to non-technical audiences.

Nice to have

  • Practical machine learning experience, including familiarity with model behavior, data quality, and iteration loops.

Culture & Benefits

  • Welcoming and casual work environment with a focus on camaraderie and openness.
  • Comprehensive benefits package and wellness program offerings.
  • Company retreats and opportunities to learn from startup community leaders.
  • Supportive, entrepreneurial culture that values grit, integrity, and simplicity.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →