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EXL
Generative AI Engineer
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Job Description
Generative AI Engineer at EXL Generative AI Engineer at EXL in Braddock, Pennsylvania Posted in about 10 hours ago.
Type:
full-time
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 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.
The remaining skills (Azure AI Search, RAG, OCP, observability) align with what the team already runs today.