AI Engineer (Generative & Agentic) - Cloud Production

Quantum Technologies. LLC

Boston (MA)

Presencial

USD 120.000 - 190.000

Tempo integral

há 13 horas
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Resumo da vaga

Quantum Technologies. LLC in Boston is seeking an AI Engineer with hands-on experience in Generative AI, Agentic AI, Python, and cloud-based AI solutions.

The ideal candidate will design, develop, integrate, and deploy AI solutions for enterprise applications, ensuring performance, security, and scalability. The role involves building AI agents, deploying production-grade AI/ML systems, collaborating with data engineers, and following Agile practices to deliver secure, observable, and reliable

Qualificações

  • Hands-on Python development for Generative and Agentic AI.
  • Experience with enterprise cloud AI solutions.
  • Experience deploying AI models to production.
  • Understanding data engineering, AI security, performance, and monitoring.
  • Familiarity with Agile delivery and the full software development lifecycle.

Responsabilidades

  • Design and develop Generative AI and Agentic AI solutions using Python.
  • Build AI agents and integrate AI models with enterprise applications.
  • Develop and deploy cloud-based AI/ML solutions into production.
  • Support the full AI development lifecycle, from solution design to deployment and monitoring.
  • Work with data engineering teams to ensure data quality and reliability.
  • Implement AI security, performance optimization, and observability standards.
  • Collaborate with cross-functional teams in an Agile environment.

Conhecimentos

Python
Generative AI
Agentic AI
Cloud AI
Model integration
Data engineering
AI security
Performance monitoring
SDLC

Descrição da vaga

Quantum Technologies. LLC in Boston is seeking an AI Engineer with hands-on experience in Generative AI, Agentic AI, Python, and cloud-based AI solutions.

The ideal candidate will design, develop, integrate, and deploy AI solutions for enterprise applications, ensuring performance, security, and scalability. The role involves building AI agents, deploying production-grade AI/ML systems, collaborating with data engineers, and following Agile practices to deliver secure, observable, and reliable

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