Logo Dminds Solutions Inc.

GenAI Engineer (Full-Stack AI Systems)

Dminds Solutions Inc.via LinkedIn
RemotoDallas, Texas, UsPlenoCLT24 dias atrás

Salário Estimado

R$ 5.940,00 - R$ 8.910,00

Tecnologias

0de 100

Excelente

Score da Vaga

Descrição da Vaga

the Role We are looking for a GenAI Engineer with a strong full-stack engineering background who has transitioned into building AI-powered applications and agentic systems over the past few years.


The ideal candidate is someone who understands how to integrate AI deeply into enterprise-grade systems, combining expertise in backend architecture, APIs, cloud infrastructure, and modern generative AI frameworks.


This role focuses on building production-ready AI systems, not just experimentation.


You will work across the entire stack to design, develop, and deploy AI-driven solutions that solve real business problems and improve operational efficiency.


Key Responsibilities Design and Deploy AI Systems • Design, develop, and deploy AI-powered applications using LLMs and modern GenAI frameworks.

Build and maintain scalable AI services, APIs, and backend systems. • Implement agentic workflows, retrieval-augmented generation (RAG), and AI orchestration pipelines.

Full-Stack AI Integration • Integrate AI models into enterprise applications across the full technology stack.

Develop backend services, APIs, and data pipelines that support AI-powered features. • Work with frontend teams to enable AI-driven user experiences.

Enterprise System Architecture • Architect and maintain production-ready AI infrastructure on cloud platforms.

Ensure scalability, security, and reliability of AI services. • Optimize system performance and AI model usage.

Research and Innovation • Stay up-to-date with the latest advancements in Generative AI, LLMs, and agentic architectures.

Evaluate and implement new tools, frameworks, and architectures to improve AI capabilities.

Collaboration and Stakeholder Engagement • Work closely with product managers, engineers, and business stakeholders to define requirements.

Translate business challenges into scalable AI-driven solutions. • Communicate technical concepts clearly to both technical and non-technical audiences.

Requisitos

  • We are looking for a GenAI Engineer with a strong full-stack engineering background who has transitioned into building AI-powered applications and agentic systems over the past few years
  • The ideal candidate is someone who understands how to integrate AI deeply into enterprise-grade systems, combining expertise in backend architecture, APIs, cloud infrastructure, and modern generative AI frameworks
  • Enterprise System Architecture

Responsabilidades

  • This role focuses on building production-ready AI systems, not just experimentation
  • You will work across the entire stack to design, develop, and deploy AI-driven solutions that solve real business problems and improve operational efficiency
  • Key Responsibilities Design and Deploy AI Systems
  • Design, develop, and deploy AI-powered applications using LLMs and modern GenAI frameworks
  • Build and maintain scalable AI services, APIs, and backend systems
  • Implement agentic workflows, retrieval-augmented generation (RAG), and AI orchestration pipelines
  • Full-Stack AI Integration
  • Integrate AI models into enterprise applications across the full technology stack
  • Develop backend services, APIs, and data pipelines that support AI-powered features
  • Work with frontend teams to enable AI-driven user experiences
  • Architect and maintain production-ready AI infrastructure on cloud platforms
  • Ensure scalability, security, and reliability of AI services
  • Optimize system performance and AI model usage
  • Stay up-to-date with the latest advancements in Generative AI, LLMs, and agentic architectures
  • Evaluate and implement new tools, frameworks, and architectures to improve AI capabilities
  • Collaboration and Stakeholder Engagement
  • Work closely with product managers, engineers, and business stakeholders to define requirements
  • Translate business challenges into scalable AI-driven solutions
  • Communicate technical concepts clearly to both technical and non-technical audiences

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Informações

NívelPleno
ContratoCLT
LocalDallas, Texas, Us
RemotoSim
MoedaBRL
Publicada24 dias atrás
FonteLinkedIn

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