E
Generative AI Engineer
EXL
3 hours ago
Full-time
On-site
Pittsburgh, Pennsylvania, United States
Role : Sr. AI Engineer with Semantic Kernel + Microsoft Agent Framework exp. ( Azure AI)
Location : Pittsburgh, PA
Work Type : Hybrid work setup (2-3 days a week work from office)
Hire Type : Full-Time with EXL
Experience : 7+ Years
Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.
Job Requirement: Migration Context - Must Have Knowledge Search is a containerized, enterprise-grade RAG platform on Azure AI Services with a Django/Python, deployed on OpenShift. Semantic Kernel is the current orchestration layer, and the SK → MS Agent Framework migration is a Q3 '26 roadmap item that unblocks Agentic Workflows and the Control Panel. The refactor re-platforms SK Native Plugins, Function Calling, Prompt Templates, Memory/Chat History, and Planners/Agents onto the Agent Framework's agents/workflows model.
Must-Have Skills: Semantic Kernel + Microsoft Agent Framework
— hands-on experience refactoring SK plugins, planners, function calling, and memory to Agent Framework agents/workflows (this is the critical, hardest-to-source skill) Python / Django
— to rebuild the orchestration layer without breaking existing API contracts, RBAC, and permissions Azure AI Services / RAG
— Azure AI Search (hybrid retrieval, semantic ranking), Azure OpenAI (inference + embeddings), preserving retrieval, reranking, prompt assembly, and citation paths
High-Priority Skills Model Context Protocol (MCP ) — for tool/connector integration and the Intelligence Layer channel OpenShift / containerization
— to deploy migrated microservices on OCP Observability & Evaluation
— Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parity GitHub / CI-CD / DevSecOps
— PR-based workflows and vulnerability remediation
Medium-Priority Skills Redis Enterprise (caching/session state) and Azure APIM (gateway, rate limiting) The single most differentiated requirement is combined hands-on Semantic Kernel and Microsoft Agent Framework experience paired with Python/Django, since that is the exact intersection where the refactor happens. xsgimln The remaining skills (Azure AI Search, RAG, OCP, observability) align with what the team already runs today.
Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.
Job Requirement: Migration Context - Must Have Knowledge Search is a containerized, enterprise-grade RAG platform on Azure AI Services with a Django/Python, deployed on OpenShift. Semantic Kernel is the current orchestration layer, and the SK → MS Agent Framework migration is a Q3 '26 roadmap item that unblocks Agentic Workflows and the Control Panel. The refactor re-platforms SK Native Plugins, Function Calling, Prompt Templates, Memory/Chat History, and Planners/Agents onto the Agent Framework's agents/workflows model.
Must-Have Skills: Semantic Kernel + Microsoft Agent Framework
— hands-on experience refactoring SK plugins, planners, function calling, and memory to Agent Framework agents/workflows (this is the critical, hardest-to-source skill) Python / Django
— to rebuild the orchestration layer without breaking existing API contracts, RBAC, and permissions Azure AI Services / RAG
— Azure AI Search (hybrid retrieval, semantic ranking), Azure OpenAI (inference + embeddings), preserving retrieval, reranking, prompt assembly, and citation paths
High-Priority Skills Model Context Protocol (MCP ) — for tool/connector integration and the Intelligence Layer channel OpenShift / containerization
— to deploy migrated microservices on OCP Observability & Evaluation
— Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parity GitHub / CI-CD / DevSecOps
— PR-based workflows and vulnerability remediation
Medium-Priority Skills Redis Enterprise (caching/session state) and Azure APIM (gateway, rate limiting) The single most differentiated requirement is combined hands-on Semantic Kernel and Microsoft Agent Framework experience paired with Python/Django, since that is the exact intersection where the refactor happens. xsgimln The remaining skills (Azure AI Search, RAG, OCP, observability) align with what the team already runs today.