Advanced Software Engineer - AI Reliability Engineering
Контакты
118 519 - 131 482$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aipythonjavascriptdockertypescriptclouddevopsrest apici cdfullstack development
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$119к-131к/год
$140к$190кмедиана$250к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
72
Хорошая вакансия
развернуть
Здесь можно вести разработку от сбора требований до поддержки и работать с ИИ в производстве, а гибкий график выглядит привлекательным. При этом широкий круг задач может означать высокую нагрузку.
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Ниже рынкаШирокая зона ответственностиСовременный стекГибкий графикИИ в производствеТребуется гражданство США
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Advanced Software Engineer - AI Reliability Engineering (AI/full-stack): Building AI-native full-stack applications, APIs, data pipelines, and integrations for manufacturing operations with an accent on scalable architecture, operational data, and emerging technologies. Focus on embedding AI/ML capabilities, connecting ERP/PLM/MES systems, and owning delivery from requirements through production support.
Location: Remote; U.S. citizenship is required
Salary: USD $118,519–$131,482 per year
Company
hirify.global develops high-technology products and services for defense, scientific, and national-security missions.
What you will do
Design, develop, test, deploy, and support full-stack web applications for manufacturing execution, data integration, and operational intelligence.
Build AI-native applications, APIs, data pipelines, integration layers, and scalable enterprise software.
Embed with operations users at GDMS sites to understand workflows, define requirements, and translate business processes into software.
Design operational data models and integrations with ERP, PLM, MES, and other enterprise systems.
Embed AI/ML capabilities such as predictive quality, anomaly detection, natural-language data access, and autonomous decision support.
Collaborate with manufacturing, supply chain, quality, facilities, IT infrastructure, and security teams on cloud deployment, compliance, and DevSecOps.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related Science, Technology, Engineering, or Mathematics field, plus at least 5 years of relevant experience; alternatively, a Master’s degree plus 3 years of relevant experience.
Proficiency in Python and/or JavaScript/TypeScript with full-stack development experience.
Experience with web application frameworks, relational databases, and REST API design.
Strong understanding of DevOps, Agile, and CI/CD practices.
Ability to work independently, own deliverables, solve problems, and communicate technical concepts clearly to non-technical stakeholders.
U.S. citizenship is required due to the nature of the work.
Nice to have
Experience building AI/ML capabilities or LLM-based applications.
Professional experience with AI coding assistants such as Claude Code, Copilot, or Cursor.
Experience with Azure or AWS and containerization using Docker or Kubernetes.
Familiarity with manufacturing systems such as MES and ERP, or industrial data integration using OPC-UA or MQTT.
Experience in defense or aerospace industries.
Culture & Benefits
Remote position with flexible schedules and an optional 9/80 schedule, including every other Friday off.
Research-oriented work with teams developing practical solutions for national security.
Continuous learning and development opportunities.
Benefits include 401(k) matching, flexible time off, paid parental leave, healthcare, wellness programs, and employee resource and social groups.
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