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Paralucent

Senior Azure GenAI Backend Engineer – RAG & Serverless Focus

Paralucent

Senior Consultant role designing and implementing scalable Generative AI solutions focused on Azure-native serverless platforms for a consulting client.

Posted 7/23/2026contractRemote • 🇮🇳 IndiaSeniorWebsite

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 backend APIs and serverless solutions. Proficient in applying infrastructure as code and ensuring compliance and security in AI system deployments.

Highest-signal resume keywords
RAG Solutions DevelopmentAzure OpenAIAzure FunctionsCI/CD Pipelines (Azure DevOps)Infrastructure as Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaNode.jsREST API DevelopmentMicroservicesSystem DesignAzure AI SearchAzure Container AppsAzure App ServicesAzure Storage
Tools & Technologies
Azure DevOpsGitHub ActionsDockerKubernetesBicep
Industry Keywords
GenAIServerless ArchitecturesComplianceGovernanceSecurity

Tech Stack

Tools & technologies
AWSAzureDockerJavaJavaScriptKubernetesMicroservicesNode.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
  • 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).
  • 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.
  • 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.

Benefits

Comp & perks
  • Engagement Type: 6 Months contract (can be extended)