Job description

8+ years of overall experience in software engineering, AI/ML, data engineering, or related technology, with

2–3+ years of hands-on Generative AI experience

Strong hands-on experience with

Microsoft Azure

, particularly

Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Azure Machine Learning, and Azure Functions

Experience building enterprise

LLM, RAG, and Generative AI applications

using Azure OpenAI, GPT models, embeddings, and vector search.

Strong programming experience in

Python

and experience with

LangChain, LangGraph, Semantic Kernel, or similar AI frameworks

Hands-on experience designing

RAG pipelines, prompt engineering, AI agents, function/tool calling, and multi-agent solutions

Experience with

Azure AI Search, vector databases, Azure Storage/ADLS, Cosmos DB, SQL, and enterprise data integration

Strong knowledge of

Azure architecture, APIs, microservices, Docker/Kubernetes, Azure Functions, AKS, API Management, and Key Vault

Experience implementing

LLM security, responsible AI, guardrails, prompt safety, monitoring, evaluation, and cost/performance optimization

Experience integrating GenAI solutions with enterprise applications using

REST APIs, event-driven architecture, CI/CD, Azure DevOps, and Git

Strong understanding of

end-to-end GenAI solution architecture

and ability to work with business, data, cloud, and engineering teams.