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Paralucent

Azure GenAI Backend Engineer – RAG, Serverless Focus

Paralucent

Azure GenAI Backend Engineer designing and implementing scalable Generative AI solutions using Azure technologies for a consulting client. Requires expertise in Azure AI services, backend system design, and cloud-native architecture.

Posted 7/13/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing RAG-based architectures using Azure OpenAI and Azure AI Search, with a strong focus on building scalable serverless solutions and CI/CD pipelines. Proficient in Python, Java, or Node.js, and experienced in collaborating with cross-functional teams to deliver end-to-end GenAI solutions.

Highest-signal resume keywords
RAG Solutions DevelopmentAzure OpenAIAzure AI SearchCI/CD PipelinesInfrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaNode.jsREST API DevelopmentMicroservicesSystem DesignAzure FunctionsAzure Container AppsTerraformBicep
Tools & Technologies
Azure DevOpsGitHub ActionsDockerKubernetesAzure StorageAzure Key Vault
Industry Keywords
GenAI ApplicationsServerless ArchitecturesData PipelinesSecurity Best PracticesGovernance Compliance

Tech Stack

Tools & technologies
AzureDockerJavaJavaScriptKubernetesMicroservicesNode.jsPythonTerraformVault

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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)
  • 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
  • Strong proficiency in Python, Java or node.js
  • REST API development and microservices
  • Strong system design capabilities
  • CI/CD pipelines (Azure DevOps / GitHub Actions)
  • Docker & Kubernetes (good to have)
  • Infrastructure as Code (Terraform / Bicep)

Benefits

Comp & perks
  • Work from anywhere in India
  • Collaborate with global teams