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1 день назад

Gen AI Engineer (Microsoft AI)

72 786 - 90 273$
Формат работы
onsite/hybrid
Тип работы
fulltime
Грейд
senior
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
Gen AI Engineer (Microsoft AI): Design, develop, and deploy enterprise-scale generative AI solutions on Azure with an accent on LLMs, RAG architectures, agentic workflows, and Microsoft AI services. Focus on building production-grade AI APIs, integrating enterprise systems, and engineering evaluation, governance, security, and Responsible AI controls.

Location: Whippany, New Jersey, United States — onsite/hybrid from day one

Salary: $72,786–$90,273 base compensation per year

Company

hirify.global is a global business and technology transformation partner delivering strategy, design, engineering, AI, cloud, data, and sustainable technology solutions.

What you will do

  • Design and develop enterprise generative AI solutions using large language models and multimodal AI models.
  • Build and optimize retrieval-augmented generation architectures with vector databases and enterprise knowledge repositories.
  • Develop intelligent agents and agentic workflows using LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
  • Engineer prompts, guardrails, evaluation frameworks, and model customizations to improve accuracy, reliability, and safety.
  • Integrate AI solutions with enterprise applications, APIs, databases, Microsoft platforms, and business workflows.
  • Deploy scalable AI services on Azure and establish monitoring, governance, security, compliance, and Responsible AI controls.

Requirements

  • 8+ years of software engineering experience, including 3+ years focused on generative AI.
  • Hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Microsoft Copilot.
  • Experience building RAG applications and working with vector databases.
  • Proficiency in Python and AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
  • Experience deploying AI applications with Azure cloud services and modern DevOps practices.
  • Strong understanding of prompt engineering, model evaluation, AI observability, responsible AI, and enterprise API integration.

Nice to have

  • Experience with Microsoft 365 Copilot, Copilot Studio, or custom Copilot development.
  • Knowledge of MLOps, AI governance frameworks, and enterprise security standards.
  • Azure AI, Azure Solutions Architect, or related Microsoft certifications.

Culture & Benefits

  • Collaborative international environment focused on technology transformation, inclusion, and sustainability.
  • Comprehensive benefits package for regular full-time employees.
  • Paid vacation, company holidays, personal days, and sick leave based on employee grade and policy.
  • Medical, dental, and vision coverage.
  • Retirement savings plans, life and disability insurance, and employee assistance programs.

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