Job Overview

We are looking for a skilled Azure DevOps & GenAI Engineer with strong expertise in Azure DevOps, Python, cloud automation, CI/CD, and Generative AI. The ideal candidate will be responsible for developing and automating cloud infrastructure, building deployment pipelines, and integrating GenAI capabilities into enterprise applications and workflows.

Key Responsibilities
- Design, implement, and maintain CI/CD pipelines using Azure DevOps.
- Manage source code, repositories, branching strategies, and release processes.
- Develop automation scripts and utilities using Python.
- Automate application deployment, infrastructure provisioning, and operational processes.
- Implement and manage Azure cloud services and DevOps solutions.
- Develop and maintain Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep.
- Monitor application and infrastructure performance using Azure monitoring tools.
- Implement security, access controls, secrets management, and DevSecOps practices.




- Integrate Generative AI and LLM capabilities into enterprise applications and DevOps workflows.
- Develop Python-based solutions for interacting with LLMs, APIs, and AI services.
- Work with Azure OpenAI and other Azure AI services to develop GenAI solutions.
- Build and support RAG (Retrieval-Augmented Generation) workflows, prompt engineering, embeddings, and vector search solutions.
- Automate AI/ML deployment and operational workflows where required.
- Collaborate with developers, data engineers, AI engineers, and business stakeholders.
- Troubleshoot deployment, infrastructure, application, and pipeline issues.
- Ensure scalability, reliability, security, and performance of cloud-based solutions.
- Maintain technical documentation, deployment procedures, and operational standards.

Required Skills
- Strong hands-on experience with Microsoft Azure and Azure DevOps.
- Robust programming and scripting skills in Python.
- Experience creating and managing CI/CD pipeline

📌 Azure DevOps (India)
🏢 WebSenor InfoTech
📍 India