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2 часа назад

AI Solutions Engineer (Robotics)

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
AI Solutions Engineer (Robotics) (Python/LLM): Building and shipping production AI features and end-to-end solutions for real robots, sensors, and field deployments with an accent on agentic systems, workflow orchestration, and customer-driven product development. Focus on operating production LLM applications, translating customer workflows into reusable capabilities, and improving reliability through real-world deployments.

Location: Irvine, California, United States; on-site. Travel to customer sites is expected at approximately 10%.

Company

hirify.global builds risk-aware, reliable, field-ready embodied AI systems for real robots, sensors, and customer deployments.

What you will do

  • Build and ship production AI features that deliver measurable customer value.
  • Work with customer teams to understand workflows, pain points, and success criteria.
  • Design and implement end-to-end solutions using Python and production LLM systems.
  • Translate customer requirements into reusable product capabilities rather than one-off custom work.
  • Partner with Product, Research, and Engineering to prioritize and deliver high-impact features.
  • Identify repeatable implementation patterns and codify them into internal playbooks.

Requirements

  • Bachelor's degree or equivalent practical experience in software engineering, applied AI, or a related technical field.
  • Strong Python skills and experience shipping production-grade software.
  • Experience with agentic systems, tool use, workflow orchestration, and production LLM applications.
  • Experience conducting customer discovery and translating business requirements into technical solutions.
  • Strong problem-solving and communication skills with technical and non-technical audiences.
  • Ability to travel to customer sites and execute in ambiguous, cross-functional environments.

Nice to have

  • Experience with model evaluation, quality measurement, and reliability practices.
  • Background in forward-deployed engineering, solutions engineering, or professional services.
  • Side projects or products that solve real-world workflow problems.

Culture & Benefits

  • Work directly with real robots, sensors, and field deployments.
  • Build systems that are tested on hardware and improved through real-world use.
  • Collaborate across Product, Research, Engineering, and customer teams.

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