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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 robust 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. Required Skills & Experience Core GenAI & Architecture Hands-on experience building RAG solutions in production. Solid understanding of LLMs, embeddings, vector search, prompt engineering. Experience with Azure AI Search and Azure OpenAI. Knowledge of agentic workflows (preferred). Azure & Cloud Solid 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. Solid 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.