01Overview
Role Overview
- Position Title: GenAI / Cloud / Terraform Engineer
- Experience Requirement: 6-10 years total IT experience (5+ years in cloud platforms like Azure/GCP/Devops and 2+ years in Terraform, and 3+ years in Generative AI)
- Core Goal: Design, automate, and scale secure enterprise Generative AI infrastructure and application pipelines across multi-cloud environments.
Key Responsibilities
- Infrastructure as Code (IaC): Build and maintain modular, reusable Terraform scripts to provision cloud environments, vector databases, GPU compute instances, and networking components.
- GenAI Implementation: Deploy and integrate Large Language Models (LLMs), RAG architectures (Retrieval-Augmented Generation), and AI agent frameworks.
- Cloud Platform Management: Configure and optimize cloud services on Microsoft Azure (Azure OpenAI, AI Search, AI Foundry) and/or Google Cloud Platform (Vertex AI, GKE).
- Collaboration: Partner with software and data engineering teams to secure API endpoints, ensure system scalability, and manage model deployment pipelines.
Required Technical Skills
- Cloud &
- DevOps:
Azure, GCP, or AWS
- Terraform
- Docker/Kubernetes (GKE/AKS).
- GenAI &
- AI Frameworks:
OpenAI, LangGraph, CrewAI, AutoGen, RAG, Vector Databases (Pinecone, Milvus, Qdrant, etc.).
- Programming Languages: Python, .NET, or Node.js
Location- PAN India
Notice Period- Any .
