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GenAI / Cloud / Terraform Engineer Experience: 8+ Years Employment Type: Full-Time Work Mode:Hyderabad (Hybrid 3 Days/Week) Location: Hyderabad Job Summary We are looking for an experienced GenAI / Cloud / Terraform Engineer to design, develop, and deploy enterprise-scale AI solutions using Generative AI, Azure Cloud, and Terraform. The ideal candidate should have strong hands-on experience with LLMs, RAG, Agentic AI, MCP, cloud-native development, and Infrastructure as Code (IaC). Key Responsibilities - Design and develop enterprise GenAI and AI-powered automation solutions. - Build AI Agents, Copilots, RAG applications, APIs, and reusable AI services. - Develop agentic AI solutions using tool/function calling and multi-step workflows. - Implement MCP servers and integrate them with AI agents and copilots. - Design vector search, embeddings, semantic search, and retrieval solutions. - Deploy and scale AI workloads on Microsoft Azure. - Create reusable and scalable Terraform modules and IaC frameworks. - Implement security, monitoring, logging, observability, and performance optimization. - Work with engineering and architecture teams to deliver enterprise-grade AI platforms. Required Skills - 8+ years of overall software/cloud engineering experience. - Strong hands-on experience in Generative AI and LLMs. - Experience with RAG, Agentic AI, AI Agents, and Copilots. - Experience with OpenAI-based solutions. - Hands-on experience with LangGraph, AutoGen, or CrewAI. - Experience with MCP (Model Context Protocol). - Knowledge of vector databases, embeddings, indexing, and semantic search. - Experience with RAGAS or DeepEval for AI evaluation. - Knowledge of LoRA / QLoRA is preferred. - Strong programming skills in Python, .NET/C#, or Node.js. - Strong experience with Microsoft Azure; AWS exposure is a plus. - 2+ years of hands-on Terraform experience. - Knowledge of cloud security, monitoring, logging, and observability. - Experience with tools such as Splunk is preferred. Preferred Qualifications - Experience building enterprise AI platforms or reusable AI frameworks. - Experience developing internal AI developer platforms. - Robust understanding of cloud-native architecture and AI governance. - Experience standardizing Terraform/IaC practices across teams. - Experience supporting enterprise-scale AI deployments. Compensation: 2,000,000.00 - 2,200,000.00 per year Work Location: Hybrid remote in Balaji Nagar, Telangana .
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.