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5 месяцев назад

Field Engineer, Agent Builder (AI)

175 000 - 230 000$
Формат работы
onsite
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

Field Engineer, Agent Builder (AI): Owning the end-to-end execution of AI agent builds for strategic customers with an accent on technical delivery, integration validation, and ensuring agents perform reliably at scale. Focus on configuring agent behavior, setting up guardrails, and interfacing with senior technical stakeholders to drive impactful AI solutions.

Location: On-site in San Francisco or New York City, USA

Salary: $175,000 – $230,000

Company

hirify.global is a rapidly growing conversational AI platform that empowers brands to deliver concierge customer experience through intelligent, human-like AI agents.

What you will do

  • Own end-to-end execution of AI agent builds for enterprise customers.
  • Write and maintain key agent-building artifacts and configure agent behavior.
  • Configure and validate guardrails for safe, compliant, and predictable agent performance.
  • Set up, test, and validate customer integrations (e.g., ticketing systems).
  • Interface with senior technical stakeholders at customers to define success and drive delivery.
  • Translate customer needs into clear internal documentation and provide feedback to Engineering.

Requirements

  • 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, technical consulting, implementation engineering).
  • Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.
  • Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
  • Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
  • Comfort working in fast-moving, ambiguous environments.

Nice to have

  • Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design).
  • Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines).
  • A Computer Science, Engineering, or Math degree, or equivalent technical experience.
  • Strong product instinct: ability to write crisp PRDs and define success metrics.

Culture & Benefits

  • Work as an in-office company driven by a shared commitment to excellence and velocity.
  • Opportunity to work on a leading conversational AI platform.
  • Partner with industry leaders like Hertz, Eventbrite, and Duolingo.
  • Collaborate with a team shaping solutions in a fast-moving environment.
  • Offers Equity as part of compensation.

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