19 of 19 Remote/Hybrid Permanent Semantic Kernel Jobs

Agentic AI solutions through the full lifecycle from prototype to productionImplement and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDKCreate orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsBuild RAG pipelines with embeddings … into productionExpertise in LLMs, advanced RAG strategies, prompt engineering, and model evaluation approachesHands-on experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI-based integrationStrong Python development skills and knowledge of CI/ ...

deploy Generative AI and Agentic AI solutions from prototype to productionImplement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDKDevelop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long-running processesBuild … capabilities, including prompt design, structured outputs, tool calling and retrieval strategiesHands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel)Proven experience with RAG implementations, embeddings and vector database integrationsFamiliarity with stateful or long-running systems, including checkpointing and resumable workflowsCloud deployment experience ...

microservices. Build AI applications using Python and Azure OpenAI technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. … Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable ...

advantageous: * Agentic AI * AI Agents & Autonomous Workflows * Generative AI & LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree or above from … Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

reliable, secure and compliant operation of LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures … impact. Proven track record of working with cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration ...

Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such ...

Generative AI and Agentic AI solutions from prototyping through productionDevelop and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, and Semantic KernelImplement orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsDesign and build RAG pipelines, including embeddings, chunking, hybrid search … applications in productionDeep understanding of LLM concepts, RAG patterns, prompt design, and evaluation methodologiesExperience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration strategies like planner/executor and tool callingKnowledge of MCP, A2A protocols, and OpenAPI-based integration methodsStrong experience with ...

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 ...

track record of influencing engineering, product, infrastructure, and executive leadership teams across complex, matrixed organizations. Preferred QualificationsFamiliarity with AI ecosystems such as LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, or Anthropic, and/or vector stores such as Pinecone, Weaviate, OpenSearch, or PostgreSQL pgvector. Experience building ...

bring experience across: LLMs & Agentic AI: Experience building applications using OpenAI, Anthropic Claude, AWS Bedrock or similar. AI Orchestration: LangGraph, LangChain, Strands Agents, Semantic Kernel, AutoGen or comparable frameworks. Backend Engineering: Strong Python development skills, ideally with FastAPI or similar frameworks. RAG & Knowledge Systems: Vector databases … embeddings, semantic search, document ingestion and retrieval architectures. APIs & Integrations: Experience connecting AI applications to existing enterprise systems, databases and third-party services. Cloud Architecture: AWS, Azure or GCP, with experience designing secure, scalable production environments. Automation & Workflows: Understanding of workflow orchestration, event-driven systems and tools such ...

fostering a culture of continuous learning and innovation Desirable Skills & ExperienceFamiliarity with Retrieval-Augmented Generation (RAG), tool-calling, and AI orchestration frameworks (e.g., Semantic Kernel, Azure AI Foundry). Understanding of Large Language Models (LLMs) and the trade-offs between latency, capability, cost, and model sizing. ...

remote-first basis across the UK. You will lead the design and delivery of complex client engagements spanning agentic systems, retrieval architectures and semantic layers, working directly inside enterprise client teams.Client demand for AI-led transformation is accelerating and our client is expanding its permanent engineering team across … multi-agent architectures covering planning, delegation, tool use, memory, safety constraints and monitoringBuild retrieval and vector-based systems: embeddings, RAG, structured reasoning and semantic workflowsConnect agents to enterprise platforms through APIs, tools, MCP servers and connectorsApply ontologies or knowledge graphs where they improve reasoning and data alignmentPrompt engineering ...

applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight … learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker and other business intelligence tools Consulting, Communication & Leadership: Ability to work ...

domainRequirementsProven experience designing and deploying agentic AI and ML solutions in production environmentsDeep knowledge of AI/ML frameworks such as LangChain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch or Hugging FaceHands-on experience with cloud platforms, preferably Azure (AWS or GCP also considered)Background ...

passion for building solutions that are scalable, secure and production-ready Experience with technologies such as Databricks, MLflow, LangChain, LangGraph, Semantic Kernel or modern AI platforms would be advantageous, but isn't essential. Why Join? Fully remote working Private healthcare and life assurance Ongoing investment ...

Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous. Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance experience Why Join? Join ...

technologies including SQL Server, Power Platform, Fabric, and Power BI; Azure cloud services and AI technologies such as Azure AI, OpenAI, Copilot Studio, Semantic Kernel, and RAG architectures. Additional experience with microservices, containerization, Infrastructure as Code (IaC), cloud migration, legacy system modernization, Delphi development ...

communication and executive presentation skills. Preferred qualifications Experience designing AI/ML platforms or generative AI solutions. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, or equivalent technologies. Experience with Site Reliability Engineering (SRE), AIOps, Platform Engineering, or Internal Developer Platforms. ...

skills, sound engineering judgment, and a collaborative working style.Nice to haveExperience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel.Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter.Familiarity with ML/DL frameworks such ...