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2 часа назад

Outcome Engineer (AI)

200 000 - 320 000$
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
Outcome Engineer (AI): Building an AI Engineering Platform that orchestrates multi-agent systems, automates governance, manages context and memory, and validates agentic software outputs with an accent on production-grade agent workflows, semantic infrastructure, and deterministic evaluation. Focus on designing self-healing loops, deploying agentic tools to production, and experimenting with new models and orchestration techniques.

Location: Orlando, Florida, United States; on-site

Salary: $200,000–$320,000 per year plus equity

Company

hirify.global builds collaboration and AI-powered workflow software for military planning and operational coordination.

What you will do

  • Architect orchestration layers for multi-agent systems that collaborate, debate, and execute complex tasks.
  • Build automated governance, guardrails, and policy engines for autonomous systems.
  • Develop semantic infrastructure using knowledge graphs and vector databases to provide context and memory.
  • Create rigorous evaluation frameworks, testing harnesses, formal specifications, and automated metrics for agentic outputs.
  • Connect observability data to self-healing agent loops that detect, analyze, and remediate failures.
  • Rapidly prototype and deploy agentic tools for internal teams and customers while experimenting with new models and orchestration techniques.

Requirements

  • On-site work in Orlando, Florida.
  • History of shipping products that users rely on, rather than only prototypes or theoretical work.
  • Recent hands-on experience building and using AI agents in production or active development.
  • Strong software engineering, product building, design, research, game engineering, platform/SRE, or comparable agentic experience.
  • Ability to collaborate intensely, communicate clearly in writing, share experiments and failures, and work across disciplines.
  • Experience with or interest in large language models, vector databases, and agent orchestration.

Nice to have

  • Experience with LangChain or AutoGen and knowledge of their limitations.
  • Experience with multi-agent coordination, world models, simulations, observability, reliability, or automation.

Culture & Benefits

  • Flexible work hours and unlimited paid time off within a remote-first organization, while this role is designated on-site.
  • Health, dental, vision, and life insurance.
  • 401(k) plan with company match and eight weeks of parental leave at full pay.
  • Annual company retreats and a $1,000 yearly home-office improvement budget.
  • Equity participation and an intensive, collaborative, high-bandwidth working style.

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