GenAI / Cloud / Terraform Engineer

Role Overview

We are seeking an experienced GenAI / Cloud / Terraform Engineer to build enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Azure Cloud, and Terraform. The ideal candidate will have strong expertise in Generative AI, cloud-native development, Infrastructure as Code, and AI agent orchestration.

Responsibilities

• Design, develop, and deploy enterprise Generative AI applications.
• Build AI-powered solutions using LLMs, OpenAI, RAG, AI Agents, and vector databases.
• Develop reusable AI capabilities, including copilots, APIs, plugins, and enterprise automation components.
• Build AI-powered search, chatbots, recommendation systems, and workflow automation solutions.
• Design multi-agent workflows with function calling, tool invocation, and autonomous reasoning.
• Deploy AI workloads on Azure (preferred) or AWS.
• Develop reusable Terraform modules and Infrastructure as Code (IaC) frameworks.
• Build and integrate MCP Servers for AI agent ecosystems.
• Ensure secure, scalable, and reliable AI solutions with proper monitoring and observability.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of overall IT experience.
• 3+ years of experience in Generative AI.
• 5+ years of experience with Azure, AWS, or GCP.
• 2+ years of hands-on Terraform experience.