Generative AI Engineer
EXL · Pittsburgh, Pennsylvania, United States
FULL TIMEpermanent
Job Description
Role : Sr. AI Engineer with Semantic Kernel + Microsoft Agent Framework exp. (Azure AI)Location : Pittsburgh, PAWork Type : Hybrid work setup (2-3 days a week work from office)Hire Type : Full-Time with EXLExperience : 7+ Years
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Job Requirement:Migration Context - Must HaveKnowledge 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 permissionsAzure AI Services / RAG — Azure AI Search (hybrid retrieval, semantic ranking), Azure OpenAI (inference + embeddings), preserving retrieval, reranking, prompt assembly, and citation paths
High-Priority SkillsModel Context Protocol (MCP) — for tool/connector integration and the Intelligence Layer channelOpenShift / containerization — to deploy migrated microservices on OCPObservability & Evaluation — Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parityGitHub / CI-CD / DevSecOps — PR-based workflows and vulnerability remediation
Medium-Priority SkillsRedis 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. xzbcwsv The remaining skills (Azure AI Search, RAG, OCP, observability) align with what the team already runs today.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Job Requirement:Migration Context - Must HaveKnowledge 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 permissionsAzure AI Services / RAG — Azure AI Search (hybrid retrieval, semantic ranking), Azure OpenAI (inference + embeddings), preserving retrieval, reranking, prompt assembly, and citation paths
High-Priority SkillsModel Context Protocol (MCP) — for tool/connector integration and the Intelligence Layer channelOpenShift / containerization — to deploy migrated microservices on OCPObservability & Evaluation — Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parityGitHub / CI-CD / DevSecOps — PR-based workflows and vulnerability remediation
Medium-Priority SkillsRedis 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. xzbcwsv The remaining skills (Azure AI Search, RAG, OCP, observability) align with what the team already runs today.
Details
| Company | EXL |
| Location | Pittsburgh, Pennsylvania, United States |
| Type | FULL TIME |
| Niche | general |
| Experience | permanent |