Senior Azure GenAI Backend Engineer – RAG & Serverless Focus

Job not on LinkedIn

🕒 July 23

🇮🇳 India – Remote

⏳ Contract/Temporary

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 40%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paralucent

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Paralucent is a company that operates at the intersection of technology and creativity, focusing on driving automation and fusing intelligence to empower productivity. They aim to simplify documentation and enhance business processes through innovative technology solutions. Paralucent offers its expertise to clients seeking to integrate advanced AI solutions into their operations, helping them to optimize their workflows and increase efficiency.

📋 Description

• 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

• 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

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