Azure AI Engineer

Description :

Experience : 5 to 8 years

WORK LOCATION : Bangalore, Hyderabad & Pune (Work from Office)

Software Engineer with AI Skill Set

Programming Languages : C#, TypeScript/JavaScript, and Python

Primary Skills :

- Full Stack (C# TypeScript/JavaScript, and Python)

- Azure Services

- Azure OpenAI, and Cognitive Services

- MCP framework

- Microsoft ecosystem experience

- Playwright, JMeter, Postman, and REST API testing

Good to Have :

- Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration

- DevOps & CI/CD : Knowledgeable in Azure DevOps, GitHub Actions, and Bicep for continuous integration and deployment

- GitHub Copilot

Skill Set :

AI Agent Development : Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration.

Test Automation : Experienced in test case generation, test data creation using the MCP framework, Playwright, Jmeter, Postman, and REST API testing.

Cloud & Infrastructure : Skilled in Azure Services, GitHub Copilot, Azure OpenAI, and Cognitive Services.

Security & Compliance : Familiar with RBAC, audit logging, Microsoft AI security protocols, and privacy assessment processes.

Key Responsibilities :

- Key responsibilities include designing and deploying intelligent applications using Azure AI services like Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services, and Azure AI Search.

- This role also involves developing web applications using front-end and back-end technologies, integrating AI models using APIs and SDKs, including generative AI and RAG patterns.

- Additionally, Fullstack Developers with Azure AI architect and deploy applications on Azure, implement CI/CD pipelines and MLOps, collaborate with various teams, and monitor application performance.

Required Skills and Qualifications :

- A Bachelor's or Master's degree in a related field is typically required.

- Necessary skills include proficiency in Python and/or C#, along with front-end languages like JavaScript, HTML, and CSS.

- Experience with front-end frameworks such as React or Angular and back-end frameworks like ASP.NET Core or Node.js is also essential.

- Hands-on experience with the Azure AI platform (Azure OpenAI, Azure AI Studio, Azure Cognitive Services) and core Azure services is a key requirement.

- Familiarity with LLM orchestration frameworks, vector databases, MLOps concepts, Docker, Kubernetes, Azure DevOps, or GitHub Actions is needed.

- Understanding database technologies like SQL Server or Cosmos DB is important.

- Strong soft skills, including problem-solving and communication, are also necessary.

Preferred Qualifications :

Certifications like Microsoft Certified : Azure AI Engineer Associate or Microsoft Certified : Azure Developer Associate are highly valued.

Experience with AI-assisted coding tools like GitHub Copilot can also be beneficial