Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$100к-150к/год
$140к$170кмедиана$220к
По похожим ролям (46) ~ $170к/год
На СНГ рынке: $3.6к/мес ($2.9к - $4.2к)
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В роли можно заниматься внедрением ИИ-решений в крупной аэрокосмической компании, но обязанности охватывают разработку, аналитику, интеграции и поддержку пользователей.
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Ниже рынкаШирокий круг задачСовременные технологииСтабильная отрасльПоддержка развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer, Commercial Aircraft Group (AI/Generative AI): Building and deploying scalable AI-powered applications, intelligent agents, copilots, analytics solutions, and automation capabilities for engineering, manufacturing, operations, quality, and supply chain functions with an accent on Azure OpenAI, enterprise integrations, knowledge retrieval, and Responsible AI. Focus on designing reliable LLM solutions, developing APIs and workflows, evaluating model performance, and implementing secure data-driven systems.
Location: Remote or onsite in Buffalo, NY; Commercial Aircraft Group based in East Aurora, NY, United States. The position requires access to U.S. export-controlled information.
Salary: $100,000–$150,000 annually in Buffalo, NY.
Company
hirify.global designs and manufactures high-performance motion control systems and advanced solutions for aerospace, defense, industrial, and medical applications.
What you will do
Design, develop, test, deploy, and support AI-powered applications, intelligent agents, copilots, analytics solutions, and automation capabilities.
Translate business challenges across engineering, manufacturing, operations, quality, and supply chain into scalable technical solutions.
Build integrations, APIs, services, connectors, workflows, and enterprise data connections for AI-enabled business processes.
Develop Microsoft Copilot, Copilot Studio, Azure OpenAI, generative AI, retrieval, orchestration, search, and recommendation capabilities.
Evaluate and optimize AI model performance, accuracy, usability, reliability, and business value across proof-of-concept, pilot, and production implementations.
Implement cybersecurity, data governance, privacy, Responsible AI, documentation, training, testing, deployment, and production-readiness practices.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Science, Information Systems, Engineering, or a related field.
Typically 3–7 years of combined experience in software development, solution engineering, automation development, data engineering, analytics, machine learning, artificial intelligence, or related technical disciplines.
Experience designing, developing, testing, and deploying enterprise applications and business solutions.
Knowledge of Artificial Intelligence, machine learning, advanced analytics, intelligent automation, Generative AI, and Large Language Models.
Proficiency in one or more of Python, C#, JavaScript, SQL, or similar development languages.
Experience integrating applications with enterprise systems, APIs, databases, and cloud-based platforms; understanding of data architecture, data modeling, data quality, and analytics principles.
Hands-on Microsoft Azure experience, including DevOps, messaging systems, and Infrastructure as Code; practical knowledge of Docker, Kubernetes, and/or Azure Container Apps.
Familiarity with modern web technologies and frameworks such as React, Angular, or Vue.js; experience with REST APIs, API testing tools, unit testing, and integration testing.
Understanding of distributed system architectures and design patterns, cybersecurity, data governance, privacy, and Responsible AI concepts, with strong analytical, problem-solving, collaboration, and communication skills.
Nice to have
Experience with Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate, and related technologies.
Experience with Blazor; LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or Semantic Memory.
Experience supporting manufacturing, aerospace, engineering, supply chain, quality, or operations environments; familiarity with ERP, MES, PLM, quality management, and manufacturing systems.
Experience building AI-powered copilots, intelligent agents, conversational applications, Retrieval-Augmented Generation solutions, knowledge retrieval systems, or semantic search capabilities.
Knowledge of MLOps, prompt engineering, AI evaluation frameworks, model governance, Agile development, and product-based delivery models.
Microsoft, Azure, AI, Power Platform, or software development certifications.
Culture & Benefits
Performance-focused, collaborative, respectful, and inclusive work environment.
Annual profit sharing, matching 401(k), Employee Stock Purchase Plan, Flexible Spending Account, and Health Savings Account.
Flexible paid time off, holidays, parental leave, and comprehensive medical, dental, vision, life, disability, and supplemental coverage.
Tuition assistance, mentorship, coaching, leadership development, and personal growth programs.
Employee Resource Groups and site-specific benefits depending on location and business needs.
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