6 of 6 Semantic Kernel Jobs in Yorkshire

experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. Strong understanding of enterprise architecture, scalability, security, and operational excellence. Preferred Skills Experience with Azure OpenAI, OpenAI ...

experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. #J-18808-Ljbffr ...

automated environment provisioning. AI Tooling & MCP: Hands‐on experience or working knowledge of Model Context Protocol (MCP) architecture, agent orchestration frameworks (e.g., Semantic Kernel, AutoGen, LangChain), and API gateway patterns. Containerization: Experience deploying containerized microservices using Azure Container Apps (ACA) or Azure Kubernetes Service (AKS). ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across ...

evaluation datasets and automated test suites for AI outputsRetrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable)LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents – desirable)Technical and Professional ExpertiseStrong software engineering background with several years building and shipping production software.Substantial hands-on experience ...

Retrieval-Augmented Generation) Agentic workflows and tool use Fine-tuning Vector search and embeddings Retrieval pipelines LLM orchestration frameworks such as LangChain, Semantic Kernel or equivalents Multiple LLM providers and an understanding of their respective strengths and weaknesses Automated test suites and evaluation datasets ...