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4 дня назад

Deployed Engineer (Ai)

150 000 - 250 000$
Формат работы
onsite
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

Deployed Engineer (AI): Co-architecting and co-building production AI agents with customer engineering teams with an accent on POC design and technical evaluations. Focus on helping customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows.

Location: Chicago, IL or Dallas, TX

Salary: $150,000–$250,000 USD annually

Company

hirify.global's mission is to make intelligent agents ubiquitous by building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents.

What you will do

  • Co-architect and co-build production AI agents with customer engineering teams.
  • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.
  • Help customers deploy and operate agent-based applications.
  • Advise customers post-sale on architecture, best practices, and roadmap-level decisions.
  • Run technical demos, trainings, and workshops for developer audiences.
  • Contribute reusable patterns, cookbooks, and example code that scale across customers.

Requirements

  • 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up.
  • Strong Python, JavaScript and systems fundamentals.
  • Experience designing agent-based or LLM-powered applications beyond simple API calls.
  • Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations.
  • Ability to explain technical tradeoffs clearly and build trust with developer audiences.
  • Take responsibility for outcomes, not just recommendations.

Nice to have

  • Experience deploying AI agents in production, especially using hirify.global, LangGraph, or similar frameworks.
  • Experience with LLM evaluation, observability, or guardrails.
  • Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts.
  • Experience shipping and operating production software and are comfortable owning systems under real-world constraints.

Culture & Benefits

  • Competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
  • Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.

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