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3 часа назад

Forward Deployed Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Forward Deployed Engineer (AI) (AI agents and enterprise systems): Building and deploying AI agents that transform complex enterprise workflows across customer tools, data, and business processes with an accent on system design, integrations, and production reliability. Focus on embedding with customers, measuring real-world outcomes, and iterating on solutions from prototype through continuous improvement.

Location: Brazil; hybrid work arrangement.

Company

Builds, tests, deploys, and monitors AI agents for complex enterprise workflows across voice, chat, email, and back-office systems.

What you will do

  • Embed with customers to understand workflows, constraints, and success metrics.
  • Translate ambiguous operational problems into technical plans and production systems.
  • Design and build AI agents integrating with customer tools, data, APIs, and business processes.
  • Own deployments from prototyping through launch, monitoring, and continuous improvement.
  • Test solutions with real-world data, measure business outcomes, and iterate based on evidence.
  • Partner with Product and Engineering to improve the core platform and create reusable tools and practices.

Requirements

  • 5+ years of experience building software or solving complex technical problems.
  • Strong foundations in software architecture, system design, and production engineering.
  • Experience with APIs, integrations, data flows, and distributed systems.
  • Ability to structure ambiguous problems and work directly with operational and technical customer stakeholders.
  • Clear communication, sound judgment, ownership, and curiosity about applied AI.

Nice to have

  • Experience in forward-deployed engineering, solutions engineering, consulting, or customer-facing technical roles.
  • Experience building AI agents, workflow automation, or conversational systems.
  • Familiarity with LLM evaluation, observability, and production reliability.
  • Experience deploying and improving systems in complex enterprise environments.

Culture & Benefits

  • Hands-on work at the intersection of engineering, product, and customer delivery.
  • Pragmatic decision-making across architecture, reliability, speed, and user experience.
  • Direct exposure to complex enterprise environments and real-world business outcomes.

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