RENOVISION AUTOMATION SERVICES PVT.LTD
Website:
raspl.com
Job details:
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.
Click on Apply to know more.