• Design, develop, and deploy LLM-powered applications using Azure OpenAI / OpenAI.

• Implement RAG patterns, prompt engineering, embeddings, and vector search.

• Build and maintain cloud-native backend services and REST APIs.

• Architect and deploy scalable solutions on Azure App Services, Azure Functions, and AKS.

• Ensure security, performance, scalability, and cost optimization.

• Set up and manage CI/CD pipelines (Azure DevOps / GitHub Actions).

• Implement logging, monitoring, and observability for production workloads.

• Collaborate with stakeholders and mentor junior engineers.

• Strong Python development (primary) for backend and LLM workflows.

• Hands-on experience with LLMs & GenAI:

o Azure OpenAI / OpenAI / Hugging Face

o Prompt engineering, embeddings, vector databases

• Microsoft Azure expertise, including:

o App Services, Azure Functions, AKS

o API Management, Key Vault, Cognitive Search

o Blob Storage, SQL / Cosmos DB

o VNet, Private Endpoints

• Experience with microservices, REST APIs, and CI/CD.

• Strong understanding of security (OAuth2/OIDC, Azure AD, OWASP).