Senior AI DevOps Engineer

About the role

You will combine practical experience in AI/ML, Generative AI, cloud platforms and automation to develop solutions that move effectively from experimentation into production. This role offers the opportunity to work across AI applications, deployment automation, infrastructure, security and operations while contributing to continuous improvement in a collaborative environment.

What you'll do

• Develop and integrate AI/ML and Generative AI applications using Python, large language models and frameworks such as PyTorch or TensorFlow
• Build Retrieval-Augmented Generation solutions using embeddings, vector databases, semantic search and AI agents
• Implement tool calling, Model Context Protocol (MCP) integrations and appropriate controls for reliable AI applications
• Create and maintain automated CI/CD pipelines for testing, security checks, packaging, deployment and validation
• Automate infrastructure provisioning and configuration using Ansible, Python and Bash

What you need

• 5–8 years in devops & cloud
• CI/CD
• AWS
• Docker
• Kubernetes
• Linux
• Python
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Shell scripting
• Git
• Telecom
• GCP
• Ansible
• Azure

What you get