Senior Azure GenAI Backend Engineer- Remote (RAG & Serverless Focus) (PL861)

<h3>Overview</h3><p><strong>Engagement Type:6 Months contract(can be extended)</strong><br><strong>Location: Remote</strong></p><p>Our client in the consulting space is seeking a <strong>Senior Consultant – Azure GenAI Backend Engineer</strong> to design and implement scalable Generative AI solutions with a strong focus on RAG architectures and Azure-native serverless platforms.</p><p>This role requires deep expertise in Azure AI services, backend system design, authentication mechanisms, and cloud-native architecture to deliver secure, production-grade AI systems.</p><h3>Key Responsibilities</h3><ul><li><p>Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search.</p></li><li><p>Develop backend APIs and services to support GenAI applications.</p></li><li><p>Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps).</p></li><li><p>Build scalable data pipelines for indexing, embedding, and retrieval workflows.</p></li><li><p>Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions.</p></li><li><p>Define and implement system architecture ensuring performance, scalability, and high availability.</p></li><li><p>Apply infrastructure as code using Terraform or Bicep.</p></li><li><p>Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions.</p></li><li><p>Enforce security, governance, and compliance best practices.</p></li></ul><h3>Requirements</h3><h3>Required Skills & Experience</h3><h3>Core GenAI & Architecture</h3><ul><li><p>Hands-on experience building RAG solutions in production.</p></li><li><p>Strong understanding of LLMs, embeddings, vector search, prompt engineering.</p></li><li><p>Experience with Azure AI Search and Azure OpenAI.</p></li><li><p>Knowledge of agentic workflows (preferred).</p></li></ul><h3>Azure & Cloud</h3><ul><li><h3>Strong experience with:</h3></li><li><h3>Azure Functions</h3></li><li><h3>Azure Container Apps</h3></li><li><h3>Azure App Services</h3></li><li><h3>Azure Storage & Key Vault</h3></li></ul><ul><li><p>Solid understanding of Azure networking & identity management.</p></li><li><p>Experience designing serverless architectures.</p></li></ul><h3>Backend Development</h3><ul><li><p>Strong proficiency in Python, Java or <a rel="nofollow ugc noopener noreferrer" href="http://node.js" target="_blank">node.js</a>.</p></li><li><h3>REST API development and microservices.</h3></li><li><h3>Strong system design capabilities.</h3></li></ul><h3>DevOps</h3><ul><li><p>CI/CD pipelines (Azure DevOps / GitHub Actions).</p></li><li><h3>Docker & Kubernetes (good to have).</h3></li><li><p>Infrastructure as Code (Terraform / Bicep).</p></li></ul><h3>Nice to Have</h3><ul><li><h3>AWS exposure.</h3></li><li><h3>Consulting experience.</h3></li><li><p>Experience deploying AI systems in regulated environments.</p></li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Overview

Engagement Type:6 Months contract(can be extended)
Location: Remote

Our client in the consulting space is seeking a Senior Consultant – Azure GenAI Backend Engineer to design and implement scalable Generative AI solutions with a strong focus on RAG architectures and Azure-native serverless platforms.

This role requires deep expertise in Azure AI services, backend system design, authentication mechanisms, and cloud-native architecture to deliver secure, production-grade AI systems.

Key Responsibilities

• Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search.

• Develop backend APIs and services to support GenAI applications.

• Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps).

• Build scalable data pipelines for indexing, embedding, and retrieval workflows.

• Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions.

• Define and implement system architecture ensuring performance, scalability, and high availability.

• Apply infrastructure as code using Terraform or Bicep.

• Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions.

• Enforce security, governance, and compliance best practices.

Requirements

Required Skills & Experience

Core GenAI & Architecture

• Hands-on experience building RAG solutions in production.

• Strong understanding of LLMs, embeddings, vector search, prompt engineering.

• Experience with Azure AI Search and Azure OpenAI.

• Knowledge of agentic workflows (preferred).

Azure & Cloud

• Strong experience with:

• Azure Functions

• Azure Container Apps

• Azure App Services

• Azure Storage & Key Vault

• Solid understanding of Azure networking & identity management.

• Experience designing serverless architectures.

Backend Development

• Strong proficiency in Python, Java or node.js.

• REST API development and microservices.

• Strong system design capabilities.

DevOps

• CI/CD pipelines (Azure DevOps / GitHub Actions).

• Docker & Kubernetes (good to have).

• Infrastructure as Code (Terraform / Bicep).

Nice to Have

• AWS exposure.

• Consulting experience.

• Experience deploying AI systems in regulated environments.

Originally posted on Himalayas