Role : Generative AI Automation Engineer (4 + Yrs, Gen AI, Ansible, Python, Linux)
Exp: 4+ Yr
Location : Mumbai
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.
