Responsibilities :
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.
Additional Responsibilities:
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).
