AI Engineer

Noblesoft Technologies Inc.; United States; Teletrabalho; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Noblesoft Technologies Inc. is seeking an experienced AI Azure Cloud Engineer to design, develop, deploy, and manage AI-powered applications and cloud solutions on Microsoft Azure.

The role emphasizes hands-on work with Azure AI services, AI/ML integration, and scalable cloud infrastructure. You will design and deploy AI-powered solutions, manage LLMs and retrieval augmented generation, and collaborate with cross-functional teams to implement secure architectures, cost optimization, and CI/CD

Qualificações

• Experience with Microsoft Azure cloud services.
• Experience with Azure OpenAI Service, Azure AI Foundry, or related Azure AI services.
• Knowledge of Generative AI, LLMs, prompt engineering, and RAG architectures.
• Programming experience in Python, with familiarity with FastAPI or Flask preferred.
• Experience with Azure AI Search, vector databases, embeddings, and semantic search.
• Knowledge of Docker, Kubernetes, microservices, and REST APIs.
• Experience with Azure DevOps, GitHub Actions, CI/CD, and Infrastructure as Code.
• Strong understanding of cloud security, identity management, networking, and monitoring.

Responsabilidades

• Design, implement, and maintain scalable cloud solutions on Microsoft Azure.
• Develop and deploy AI-powered applications using Azure AI services and Azure OpenAI Service.
• Build and manage Generative AI solutions, including LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Work with Azure AI Search, Azure Machine Learning, Azure Functions, Azure Kubernetes Service (AKS), and Azure Storage.
• Develop and integrate REST APIs and microservices for AI applications.
• Implement secure cloud architectures using Azure Entra ID, Key Vault, RBAC, and networking services.
• Automate infrastructure provisioning and deployments using Terraform, ARM templates, or Bicep.
• Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
• Monitor application performance, troubleshoot production issues, and optimize cloud costs.
• Collaborate with AI engineers, data scientists, software developers, and DevOps teams.

Conhecimentos

Azure cloud

Azure OpenAI

Generative AI

Python

FastAPI/Flask

Azure AI Search

Kubernetes

Docker

CI/CD

IaC

Security & Networking

Ferramentas

Terraform/Bicep

Descrição da oferta de emprego

AI Azure Cloud Engineer

Experience: 5+ Years
Location: Remote

Job Description

We are looking for an experienced AI Azure Cloud Engineer to design, develop, deploy, and manage AI-powered applications and cloud solutions using Microsoft Azure. The ideal candidate should have strong hands‑on experience in Azure cloud services, AI/ML integration, generative AI, and cloud infrastructure.

Key Responsibilities

• Design, implement, and maintain scalable cloud solutions on Microsoft Azure.
• Develop and deploy AI-powered applications using Azure AI services and Azure OpenAI Service.
• Build and manage Generative AI solutions, including Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
• Work with Azure AI Search, Azure Machine Learning, Azure Functions, Azure Kubernetes Service (AKS), and Azure Storage.
• Develop and integrate REST APIs and microservices for AI applications.
• Implement secure cloud architectures using Azure Entra ID, Key Vault, RBAC, and networking services.
• Automate infrastructure provisioning and deployments using Terraform, ARM templates, or Bicep.
• Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
• Monitor application performance, troubleshoot production issues, and optimize cloud costs.
• Collaborate with AI engineers, data scientists, software developers, and DevOps teams.

Required Skills

• Strong hands‑on experience with Microsoft Azure cloud services.
• Experience with Azure OpenAI Service, Azure AI Foundry, or related Azure AI services.
• Knowledge of Generative AI, LLMs, prompt engineering, and RAG architectures.
• Programming experience in Python, with familiarity with FastAPI or Flask preferred.
• Experience with Azure AI Search, vector databases, embeddings, and semantic search.
• Knowledge of Docker, Kubernetes, microservices, and REST APIs.
• Experience with Azure DevOps, GitHub Actions, CI/CD, and Infrastructure as Code.
• Strong understanding of cloud security, identity management, networking, and monitoring.