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3 часа назад

Applied AI Engineer (AI)

150 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
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

Applied AI Engineer (AI): Design, build, and ship production-grade AI agents and workflows for critical industries like healthcare, manufacturing, and energy with an accent on high-impact business value and agentic systems. Focus on shaping AI strategy, identifying use cases, rapid deployment, and advancing core AI toolkit.

New York City

Compensation $150K – $300K • Offers Equity

Company

hirify.global transforms critical institutions with applied AI through forward-deployed engineering, product, research expertise, and the Mosaic toolkit for agentic workflows, in partnership with General Catalyst, Anthropic, McKinsey, and AWS.

What you will do

  • Shape the AI vision by collaborating with customer executives, operators, and technical teams to define long-term AI strategy and transformation roadmap.
  • Identify high-leverage use cases by working backwards from vision to prioritize AI applications delivering measurable business value.
  • Ship real products by rapidly building and deploying production-grade AI solutions with real users and data.
  • Advance core product by encoding customer lessons into Mosaic, contributing new features, patterns, and abstractions.

Requirements

  • AI-nativeness: Excited about transforming businesses with frontier AI in critical institutions.
  • Generative and collaborative: Enjoy brainstorming "what if" ideas with teammates and partners.
  • Extreme ownership: Proactively identify and execute next steps without waiting for direction.
  • Execution excellence and speed: Build and ship code quickly in messy environments, balancing speed and quality.
  • Customer-obsession: Understand pain points and iterate with end users for quick wins.

Nice to have

  • Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
  • Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop).
  • Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure), and DevOps tooling.
  • Prior startup or founding engineer experience.

Culture & Benefits

  • Dream bigger: Tackle ambitious problems with optimism, responsibility, and belief in success.
  • Heart in the game: Care deeply about impactful work, fixing issues proactively, and honoring customer trust.
  • Win for the customer: Focus on outcomes over outputs, with delivery as the core strategy.
  • Make the call: Empower high-agency decisions with high-bandwidth communication, no silos.
  • Intensity with kindness: Excel in execution, candor, prioritization, and urgency while building trust through kindness.

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