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1 день назад

AI/ML Engineer (Generative AI)

60 - 70$
Формат работы
onsite
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
AI/ML Engineer (Generative AI): Designing and deploying enterprise-grade AI applications for financial services with an accent on LLM integration, agent frameworks, retrieval augmented generation, and AI governance. Focus on building secure, compliant AI solutions, optimizing model performance and cost, and mentoring engineers on advanced AI development.

Location: Charlotte, North Carolina; 5 days onsite

Salary: $60–$70 per hour on W2

Company

Technology and workforce solutions provider delivering software engineering and AI services across the United States and Canada.

What you will do

  • Design, code, test, debug, document, and deploy enterprise applications and services.
  • Design and develop AI applications using enterprise APIs, large language models, agent frameworks, and related technologies.
  • Implement prompt engineering, retrieval augmented generation, fine-tuning, and agentic design patterns.
  • Integrate LLMs with enterprise systems while meeting governance, security, and compliance standards.
  • Troubleshoot complex application and model issues and improve AI system performance.
  • Lead projects, guide less experienced engineers, and collaborate with technical stakeholders.

Requirements

  • 4+ years of software engineering experience or equivalent background.
  • 2+ years of experience with generative AI, large language models, or foundation models.
  • 2+ years of experience with GCP, Azure, Kubernetes, or OpenShift.
  • 2+ years of experience with Python, REST API development, Docker, Kubernetes, and Git workflows.
  • UiPath Certified and MS Power Platform Certified.
  • Must work onsite in Charlotte, North Carolina five days per week.

Nice to have

  • Experience with Power Apps, Dataverse, UiPath, or other enterprise automation tools.
  • Experience with OpenAI, Anthropic, Google Gemini, agentic frameworks, and AI workflow orchestration.
  • Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
  • Experience with LLM evaluation, observability, monitoring, model registries, feature stores, and CI/CD for AI services.
  • Knowledge of responsible AI, regulated-environment compliance, and AI performance optimization.

Culture & Benefits

  • Full-time consultants may receive medical, dental, and vision benefits.
  • Benefits include 401(k) contributions, paid time off, sick leave, and other applicable statutory benefits.
  • Relocation assistance is not available.
  • Visa sponsorship is not available.

Hiring process

  • AI tools may assist with reviewing application information and interview responses.
  • Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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