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1 день назад

Senior Engineer, AI & ML

120 000 - 180 000$
Формат работы
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

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TL;DR
Senior Engineer, AI & ML (Generative AI/LLMs): Designing and deploying enterprise-grade Generative AI solutions, semantic search applications, and AI orchestration layers for an omnichannel customer experience with an accent on scalability, monitoring, and secure architecture. Focus on integrating Azure OpenAI Service and Azure AI Search, building prompt engineering feedback loops, and mentoring engineers on production AI development.

Location: Hybrid role based at the hirify.global Midtown office in Richmond, Virginia, or the hirify.global Technology Hub in Plano, Texas. Richmond associates work onsite 5 days per week; Plano associates work onsite 2 days per week. Applicants must be authorized to work full-time in the United States.

Salary: $120,000–$180,000 annual salary, with possible bonus and equity.

Company

hirify.global is a large used-car retailer focused on transparent customer experiences, innovation, and technology-enabled vehicle purchasing.

What you will do

  • Design, develop, and deploy Generative AI models and applications, including LLMs and semantic search frameworks.
  • Build enterprise-grade, customer-facing AI capabilities for omnichannel experiences and business processes.
  • Develop monitoring systems to validate AI performance and maintain architecture integrity.
  • Identify implementation challenges and deliver technically sound solutions.
  • Collaborate on prompt engineering, testing, and evaluation using tools such as PromptFlow.
  • Mentor engineers, review code, and improve AI architecture through innovation and stakeholder feedback.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 4 years of experience in AI/ML, cloud computing, or systems engineering.
  • Advanced proficiency in Python and scripting languages such as shell scripts.
  • Hands-on experience with Azure OpenAI Service, Azure AI Search, LLMs, semantic search frameworks, and AI orchestration layers such as Semantic Kernel.
  • Experience with DevOps practices, CI/CD pipelines, testing frameworks, and prompt engineering.
  • Current authorization to work full-time in the United States is required; visa sponsorship is not available.

Nice to have

  • Master’s degree in Computer Science, Engineering, or a related field.
  • Experience integrating CI/CD pipelines for prompt engineering with feedback loops.
  • Knowledge of advanced Generative AI tools and frameworks for enterprise-scale applications.

Culture & Benefits

  • Collaboration with engineers, product leaders, and stakeholders in a dedicated GenAI team.
  • Paid sick, vacation, and holiday time for eligible associates.
  • Full-time salaried associates receive paid time away as needed, subject to manager approval.
  • Potential eligibility for bonus and equity.

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