GenAI / Cloud / Terraform Engineer
Experience: 6+ Years
Location: Remote
Work Hours: 11:00 AM – 9:00 PM
Role Overview
We are seeking a highly skilled GenAI / Cloud / Terraform Engineer to design, develop, and deploy enterprise-scale AI solutions leveraging Generative AI, Azure Cloud, and Infrastructure as Code (IaC). The ideal candidate will have strong expertise in LLMs, RAG architectures, AI agents, cloud-native development, and Terraform automation.
This role focuses on building reusable AI capabilities, operationalizing AI-powered applications, and developing scalable cloud-based AI platforms that enhance enterprise productivity and automation.
Experience Required
Total Experience: 6+ Years
Generative AI: 3+ Years
Cloud Platforms (Azure Preferred): 5+ Years
Terraform: 2+ Years
Key Responsibilities
Design and develop AI/ML solutions using enterprise-approved technologies and frameworks.
Build reusable AI capabilities such as:
Copilots
AI Agents
APIs
Domain-specific automation components
AI-powered services
Develop and operationalize AI solutions including:
Coding Assistants
Search Assistants
Recommendation Engines
Workflow Automation Platforms
Design and implement Retrieval-Augmented Generation (RAG) solutions.
Build AI-powered use cases including:
Text-to-Code
Diagram-to-Code
Enterprise Search
Recommendations
Intelligent Automation
Implement AI-based search solutions, chatbots, and APIs.
Design and develop agentic AI systems with:
Tool Invocation
Function Calling
Multi-Step Reasoning
Autonomous Task Execution
Deploy and manage AI workloads on cloud platforms.
Create reusable Infrastructure as Code (IaC) components using Terraform.
Ensure scalability, observability, security, and reliability of AI solutions.
Collaborate with engineering, architecture, and business teams to deliver enterprise-grade AI capabilities.
Required Technical Skills
Generative AI & LLMs
Strong expertise in:
Generative AI
Large Language Models (LLMs)
OpenAI-based solutions
Retrieval-Augmented Generation (RAG)
Agentic AI Systems
AI-powered automation solutions
Experience developing:
AI Agents
Copilots
Plugins
Reusable AI Services
Enterprise AI Skills
Agent Frameworks
Hands-on experience with one or more of the following:
LangGraph
AutoGen
CrewAI
AI Evaluation & Quality
Experience implementing evaluation frameworks such as:
RAGAS
DeepEval
Experience measuring:
Reliability
Accuracy
Hallucination Rates
Memory Retention
Agent Performance
MCP & AI Integration
Experience developing and implementing MCP (Model Context Protocol) Servers.
Experience integrating MCP servers with AI agents and copilots.
Understanding of AI tool integration and agent communication patterns.
Vector Databases & Retrieval Systems
Experience with vector databases and semantic search architectures.
Strong understanding of:
Embeddings
Indexing Techniques
Similarity Search
Retrieval Systems
Model Fine-Tuning
Hands-on experience with:
LoRA
QLoRA
for adapting and improving LLM behavior.
Programming Skills
Strong proficiency in one or more of the following:
Python
.NET / C#
Node.js
Cloud & Infrastructure
Cloud Platforms
Strong experience with:
Microsoft Azure (Preferred)
Exposure to:
Amazon Web Services
Experience deploying, managing, and scaling AI workloads in cloud environments.
Terraform & Infrastructure as Code
Strong hands-on experience with Terraform.
Experience creating reusable Terraform modules and frameworks.
Infrastructure provisioning and automation expertise.
Experience standardizing Infrastructure as Code practices across teams.
Security & Engineering Practices
Strong adherence to secure coding practices.
Experience implementing enterprise-grade security standards.
Understanding of cloud security and AI governance principles.
Monitoring & Observability
Experience with monitoring, logging, and alerting platforms such as:
Splunk
Knowledge of:
Application Monitoring
Logging
Alerting
Performance Optimization
Troubleshooting
Preferred Qualifications
Experience building enterprise AI platforms, AI skill catalogs, or reusable AI frameworks.
Experience developing internal developer platforms for AI workloads.
Experience creating reusable Terraform frameworks and platform automation solutions.
Experience standardizing Infrastructure as Code templates across teams.
Advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
Experience supporting enterprise-scale AI deployments and cloud-native architectures.
Pay: ₹302,403.10 - ₹1,988,528.38 per year
Work Location: Remote
