5 to 7 years Experience in developing Python frameworks
3 years of experience in developing generative AI models using python and relevant frameworks.
Hands-on experience with Microsoft Foundry (formerly Azure AI Studio) for building, deploying, and managing enterprise GenAI applications and agents.
Experience with Azure OpenAI Service / Foundry Models for model selection, deployment, prompt engineering, inference integration, and model version management.
Experience with Foundry Agent Service for designing, deploying, and scaling AI agents using SDKs, REST APIs, and portal-based configurations.
Strong experience in building RAG solutions using Azure AI Search / Foundry knowledge retrieval capabilities.
Experience with Foundry evaluation, tracing, and monitoring to assess model and agent quality, safety, and performance.
Exposure to Foundry Tools / Azure AI Services such as Document Intelligence, Language, Speech, Translator, Vision, and Content Understanding for enterprise AI use cases.
Familiarity with Azure RBAC, managed identities, Application Insights, CI/CD pipelines, Docker, and REST API-based deployment in Azure environments.
Desired Skills:
Experience in developing GenAI copilots, chatbots, and agentic AI applications using Microsoft Foundry and Azure services.
Knowledge of prompt engineering, RAG, vector search, agent orchestration, and GenAI evaluation frameworks.
Exposure to Azure Machine Learning, Application Insights, and enterprise-grade Azure deployments.
Knowledge of Web API, MVC, and integration of AI services into business applications.
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time