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7 часов назад

Software AI Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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
Software AI Engineer (AI): Building and deploying AI agent systems, time-series models, and optimization algorithms for automated order-fulfillment and robotic fleet operations with an accent on retrieval, API integration, cloud infrastructure, forecasting, and reliability. Focus on orchestrating production AI workloads, solving routing and coordination problems, and ensuring model outputs operate reliably with physical hardware.

Location: Atlanta, GA, USA

Company

hirify.global is a global technology company developing software and automated systems for order fulfillment, including robotic warehouse operations.

What you will do

  • Build and ship AI agent systems connected to data sources and tools through retrieval, API integration, and multi-step orchestration.
  • Deploy and operate AI models on cloud infrastructure while balancing cost, performance, latency, and scalability.
  • Apply optimization and machine learning algorithms to robot fleet routing, scheduling, and coordination.
  • Develop time-series models and forecasting for operational telemetry, including anomaly detection and predictive analytics.
  • Deliver AI capabilities for physical systems where model outputs influence hardware behavior and must meet strict reliability constraints.
  • Collaborate cross-functionally with engineering groups and serve as an AI subject matter expert.

Requirements

  • 3–5 years of experience building and deploying ML or AI systems in production.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Hands-on experience with LLM agents, retrieval-augmented generation, tool and API integration, and multi-step orchestration frameworks.
  • Experience deploying and operating models on cloud infrastructure, with an understanding of cost, latency, and scaling trade-offs.
  • Applied experience with optimization or machine learning algorithms for routing, scheduling, coordination, or comparable problems.
  • Experience with time-series modeling, forecasting, anomaly detection, and predictive analytics on sensor or telemetry data.

Nice to have

  • Master’s degree in Computer Science, Engineering, or a related field.
  • Experience in hard-tech or physical-systems environments where models run against real hardware and reliability constraints.

Culture & Benefits

  • Supportive and rewarding work environment within a distributed engineering organization.
  • Medical, dental, and vision insurance plans.
  • Health Savings Account with a company contribution.
  • Paid time off, holidays, paid exercise and volunteer time, and paid parental leave.
  • 401(k) plan with employer match and discretionary profit-sharing contribution.
  • Educational assistance, professional development, and mentorship or coaching programs.

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