76 to 100 of 145 Permanent Semantic Kernel Jobs

development techniques and tooling such as advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution design. • Agentic … commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases ...

event-driven workflows.Ensure production readiness through observability, resilience engineering, and cost optimisation.Agentic AI & OrchestrationOversee development of multi-agent systems using frameworks such as Semantic Kernel and AI Foundry.Implement deterministic orchestration patterns, context management, and memory strategies.Drive innovation in AI workflows including voice AI, real-time inference ...

workflows. Ensure production readiness through observability, resilience engineering, and cost optimisation. Agentic AI & OrchestrationOversee development of multi-agent systems using frameworks such as Semantic Kernel and AI Foundry. Implement deterministic orchestration patterns, context management, and memory strategies. Drive innovation in AI workflows including voice AI, real ...

architecture. Hands-on experience with LLMs (GPT, Claude, Gemini, Azure OpenAI). Experience building Agentic AI and RAG solutions. Hands-on with LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, or similar frameworks. Experience with Azure AI Foundry, Azure OpenAI, AKS, Containers, Cosmos DB, SQL, REST APIs ...

Agentic AI and ML Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives Model-level work using PyTorch ...

integrating frontier models such as GPT, Claude, and Gemini Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering Executive communication skills with experience influencing senior leaders Demonstrated ability to own solutions ...

integrations, and user-facing applications. Practical understanding of LLMs and AI application patterns, including: Retrieval-augmented generation (RAG) AI agents and tool calling Semantic or vector search Prompt engineering Chatbots and copilots AI output evaluation and validation Cloud development experience in Azure, AWS, or GCP ; Azure is preferred. … Service Bus Azure API Management Azure AI Search Microsoft Entra ID Experience with technologies such as SQL Server, SharePoint, Databricks, Blazor, ASP.NET Core, Semantic Kernel, Copilot Studio, or other agent frameworks . Experience connecting AI applications to enterprise documents and structured or unstructured data. AI certifications ...

integrations, and user-facing applications. Practical understanding of LLMs and AI application patterns, including: Retrieval-augmented generation (RAG) AI agents and tool calling Semantic or vector search Prompt engineering Chatbots and copilots AI output evaluation and validation Cloud development experience in Azure, AWS, or GCP ; Azure is preferred. … Service Bus Azure API Management Azure AI Search Microsoft Entra ID Experience with technologies such as SQL Server, SharePoint, Databricks, Blazor, ASP.NET Core, Semantic Kernel, Copilot Studio, or other agent frameworks . Experience connecting AI applications to enterprise documents and structured or unstructured data. AI certifications ...

automation patterns.Develop AI-enabled workflows incorporating orchestration, adaptive behaviour, exception handling, human oversight and safe escalation paths.Design agent orchestration using frameworks such as Semantic Kernel, LangChain or equivalent technologies.Build and optimise Retrieval-Augmented Generation pipelines, grounding agent behaviour in trusted, approved and governed knowledge sources.Engineer prompts ...

genuinely used, rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented ...

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 ...

earlier architectures such as GANs and VAEs. Experience across text, code, image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic ...

components others can use Effective in cross-functional, distributed teams within a corporate environment Nice-to-haves: Experience with agent orchestration frameworks: LangChain, Semantic Kernel, CrewAI, or similar Track record of introducing or scaling agentic development practices within a team Background in building internal tools ...

Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset with a focus on quality and scalability. Comfortable working within existing technical ...

secure coding practices. Strong leadership, communication, collaboration, and stakeholder-engagement skills. Preferred Qualifications Experience developing AI or Generative AI applications involving RAG, chatbots, semantic search, intelligent document processing, or agentic workflows. Experience with LangChain, Haystack, Semantic Kernel, or similar AI application frameworks. Hands ...

both technical and non-technical stakeholders.Desirable Experience designing and implementing AI agents, copilots and intelligent automation solutions.Knowledge of Azure Functions, Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies.Experience with data modelling, governance, security and enterprise architecture.Exposure to machine learning, predictive analytics or forecasting ...

multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience … solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience ...

experience using Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands‐on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems.Automation, Orchestration ...

Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation ...

Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI … building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs, tool/function calling ...

Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI … building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs, tool/function calling ...

negotiables. Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected … building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs, tool/function calling ...

multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience … solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience ...

deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services ...