101 to 125 of 147 Semantic Kernel Jobs

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 ...

based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate ...

based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate ...

LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly desirable.Familiarity with AI orchestration frameworks (e.g. LangChain, Semantic Kernel, AutoGen, or similar) would be advantageous.Knowledge of Private Markets, alternative assets, portfolio analytics, financial data platforms, Fixed Income, or Multi-Asset ...

Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or similar Generative AI technologies is highly desirable.* Familiarity with AI orchestration frameworks (e.g. LangChain, Semantic Kernel, AutoGen, or similar) would be advantageous.* Knowledge of Private Markets, alternative assets, portfolio analytics, financial data platforms, Fixed Income, or Multi ...

models, security, cost and data trade-offs with senior stakeholders. Consultancy, professional services or similarly demanding client-facing delivery experience. Useful additional experience Semantic Kernel, Microsoft Agent Framework, LangChain or LangGraph. Azure AI Search, Document Intelligence or Content Safety. Microsoft Fabric or Databricks. Azure Container Apps ...

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). ...

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 ...

with AI, machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel, RAG or vector databasesUnderstanding of AI agents, LLMs and modern AI development approachesStrong software engineering fundamentals, including source control, testing ...

front-line employees, and to translate business problems into AI solutions. Preferred Experience with agent frameworks and interoperability standards (e.g., MCP, LangChain, Semantic Kernel, AutoGen). Experience with retrieval systems, vector databases, and enterprise knowledge grounding. Experience integrating AI with ERP, or shop-floor systems ...

front-line employees, and to translate business problems into AI solutions. Preferred Experience with agent frameworks and interoperability standards (e.g., MCP, LangChain, Semantic Kernel, AutoGen). Experience with retrieval systems, vector databases, and enterprise knowledge grounding. Experience integrating AI with ERP, or shop-floor systems ...

front-line employees, and to translate business problems into AI solutions. Preferred Experience with agent frameworks and interoperability standards (e.g., MCP, LangChain, Semantic Kernel, AutoGen). Experience with retrieval systems, vector databases, and enterprise knowledge grounding. Experience integrating AI with ERP, or shop-floor systems ...

automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar Most importantly, you will be someone who understands how to turn AI capabilities into robust, commercially useful software. ...

production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset ...

Foundry, OpenAI, Anthropic).Modern development practices. Familiarity with any of: Docker, Terraform, CI/CD pipelines, Git.Agent orchestration frameworks. Experience with LangChain, Semantic Kernel, AutoGen or similar is a plus. The team is moving towards more sophisticated agentic workflows.Supervisory responsibilitiesNoPotential for growthMentoringLeadership development programsRegular trainingCareer development ...

/function calling, orchestration, state management, planning, memory, and multi-step workflows. Experience with agentic or LLM application frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies. Familiarity with Model Context Protocol (MCP) or similar approaches for connecting AI applications with tools, data … services. Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, or knowledge retrieval. Familiarity with techniques for testing and evaluating nondeterministic AI/LLM applications, including evaluation datasets, tracing, observability, and failure analysis. Experience with Kubernetes or other container orchestration technologies. Experience with cloud platforms ...

/function calling, orchestration, state management, planning, memory, and multi-step workflows. Experience with agentic or LLM application frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies. Familiarity with Model Context Protocol (MCP) or similar approaches for connecting AI applications with tools, data … services. Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, or knowledge retrieval. Familiarity with techniques for testing and evaluating nondeterministic AI/LLM applications, including evaluation datasets, tracing, observability, and failure analysis. Experience with Kubernetes or other container orchestration technologies. Experience with cloud platforms ...

models. Support AI lifecycle management and operational excellence. Required Technical Skills AI & GenAI RAG (Retrieval Augmented Generation) Prompt Engineering AI Agents & Agentic AI Semantic Kernel LangGraph/LangChain Microsoft Technologies Power Automate Power Apps Microsoft Teams SharePoint Online Microsoft Graph API Automation & Development Python PowerShell REST ...

Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version ...

usage is insufficient). Experience with LLMs and AI architectures, with experience designing and implementing agentic AI systems using frameworks like LangGraph, Semantic Kernel, AutoGen, or CrewAI. Deep knowledge of Retrieval-Augmented Generation (RAG), Vector databases, prompt engineering best practices, and model selection trade-offs. Strong ...

event-driven flows. Schema Design & Evolution: Design, document, and evolve data schemas for AEC domain entities (buildings, infrastructure, spaces, systems, components, relationships) — including semantic models, property sets, classification systems, and relationship hierarchies. Own versioning, backward/forward compatibility, deprecation, and migration; maintain the schema registry, validation rules … . Database Architecture: Relational and NoSQL (e.g., DynamoDB, PostgreSQL). Observability/SRE: OpenTelemetry, distributed tracing, metrics/SLOs for data services. Bonus: Semantic Technologies: Knowledge graphs, RDF/OWL, or property graphs — particularly relevant to the connected/semantic AECDM. BIM Expertise: Building Information Modeling ...

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 ...

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 ...

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 ...

government or regulated sectorsExperience managing end-to-end AI delivery projects with elements including data pipelines, prompt engineering oversight, agent orchestration (e.g. LangChain, Semantic Kernel, Azure AI Agents) and integration with enterprise systems. Experience with change management and organisational readiness for AI adoption. AptitudeTechnical Translation: Ability ...