IT Infrastructure & Automation Engineer with GEN AI

IT Infrastructure & Automation Engineer with GenAI .

Experience: [4 to 6 ] years

Role Overview:

We are seeking a highly skilled IT Infrastructure & Automation Engineer with GenAI expertise to design, develop, and maintain automation solutions for IT operations and cloud environments. This role combines strong infrastructure knowledge with advanced automation and GenAI-driven development.

Key Responsibilities:

· Design and implement automation solutions for IT infrastructure and cloud platforms.

· Develop scripts and automation tools using Python (OOPs), PowerShell, and Shell scripting.

· Build web-based automation dashboards and tools using Flask, Django, and FastAPI frameworks.

· Integrate Generative AI capabilities into automation workflows for predictive analytics, anomaly detection, and intelligent decision-making.

· Develop RAG (Retrieval-Augmented Generation) pipelines for contextual automation and knowledge retrieval using vector databases.

· Implement AI Agents for dynamic task orchestration and workflow automation.

· Create and manage Ansible playbooks and YAML configurations for infrastructure orchestration.

· Implement CI/CD pipelines using Git and Jenkins for automated deployments.

· Collaborate with cloud teams to automate provisioning and monitoring in AWS/Azure/GCP environments.

· Perform SQL development tasks including writing queries, stored procedures, and optimizing database operations for automation workflows.

· Ensure security, scalability, and reliability of automation solutions.

Required Skills & Expertise:

Infrastructure & Automation:

· Good knowledge of Windows Server and Linux OS, including basic Linux commands for administration and troubleshooting.

· Proficiency in Python with strong OOPs concepts.

· Development experience with Flask, Django, and FastAPI for web-based automation tools.

· Scripting expertise in PowerShell and Shell scripting for system automation.

· Hands-on experience with Ansible, YAML, and infrastructure automation.

· Knowledge of Cloud platforms (AWS/Azure/GCP) and automation in cloud environments.

· Familiarity with CI/CD tools: Git, Jenkins.

· SQL development skills: writing queries, stored procedures, and database optimization.

· Understanding of containers (Docker/Kubernetes) for deployment and scalability.

Generative AI & Advanced Automation:

· Strong understanding of Large Language Models (LLMs) and their application in IT automation.

· Hands-on experience with at least one GenAI framework such as LangChain, Lamaindex.

· Ability to design and implement RAG pipelines using vector databases (e.g., Pinecone, Weaviate, FAISS) for semantic search and contextual responses.

· Knowledge of AI Agents frameworks (LangChain Agents, AutoGPT, CrewAI) for dynamic task execution.

· Familiarity with prompt engineering, using REST APIs for AI services.