About the Role :

We are looking for an Azure AI Engineer to build, deploy, and enhance enterprise-grade AI solutions on Microsoft Azure. This role involves working across Generative AI, LLM applications, AI agents, search, document intelligence, and cloud-based AI services.

The ideal candidate will combine strong Python and AI engineering skills with hands-on Azure experience and the ability to take AI solutions from development through production.

What Youll Do :

- Build and deploy AI applications using Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Services, and Azure Machine Learning.
- Develop practical Generative AI solutions using LLMs, Prompt Engineering, RAG, Vector Databases, AI Agents, and Agentic AI.
- Create AI-powered applications covering areas such as conversational experiences, document processing, speech, and computer vision.
- Develop integrations between AI solutions and enterprise applications, APIs, databases, Microsoft 365, Power Platform, and other cloud services.
- Use Python, REST APIs, Azure SDKs, LangChain, Semantic Kernel, or similar technologies to develop AI applications.
- Work with Azure services including Azure Functions, App Services, AKS, Container Apps, Storage, Key Vault, Azure Monitor, and networking components.
- Support migration of AI workloads and applications from on-premises or other cloud platforms to Azure.
- Implement secure and scalable AI architectures while considering identity, access management, compliance, monitoring, and cost.
- Collaborate with engineering and business teams to translate AI use cases into reliable production solutions.




- Maintain deployment pipelines and engineering practices using GitHub, Azure DevOps, CI/CD, and MLOps.

What Were Looking For :

- 3+ years of experience across AI/ML, Cloud, Generative AI, Applied AI Engineering, or Azure AI implementation.
- Strong hands-on experience with Microsoft Azure AI technologies, particularly Azure OpenAI and Azure AI Services.
- Practical experience building and deploying LLM-based applications, RAG pipelines, AI agents, and vector search solutions.
- Strong programming ability in Python with experience developing APIs and cloud-based applications.
- Experience with LangChain, Semantic Kernel, or comparable AI application frameworks.
- Good understanding of Azure cloud architecture and production deployment.
- Experience integrating AI capabilities with enterprise systems, databases, APIs, or Microsoft ecosystem services.
- Exposure to cloud migration, AI workload migration, security, IAM, or enterprise-scale deployments.
- Familiarity with CI/CD, GitHub, Azure DevOps, MLOps, and production monitoring.

Good to Have :

- Microsoft Certified : Azure AI Engineer Associate (AI-102) or a comparable Azure AI certification.
- Experience with Responsible AI, AI governance, security, observability, and cost optimization.
- Experience working with enterprise GenAI platforms or large-scale AI implementations.

Why This Role?

- Work on real-world Generative AI and Azure AI implementations.
- Build solutions involving LLMs, RAG, AI Agents, and intelligent automation.
- Gain exposure to enterprise AI architecture, cloud migration, and production deployments.
- Prospect to work across modern Microsoft Azure AI technologies.

📌 AI/ML Engineer - Azure AI (India)
🏢 TalentXO
📍 India