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.
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Wall Street Consulting Services LLC Recruitment Team
