26 to 50 of 58 Semantic Kernel Jobs

Agentic Software Engineering solutions to automate and enhance SDLC processes. Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies. Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures. Experience ...

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 ...

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 ...

clinical trial operational data, real-world data, and supporting trial feasibility, site selection and forecasting. Experience building Generative AI applications with LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework, Langfuse, AWS-native AI services, Microsoft Azure services where appropriate, or equivalent approved enterprise technologies. Experience designing ...

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 ...

Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM 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 ...

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 ...

MLOps tools and deployment practices. Experience using Azure Machine Learning. Exposure to fine-tuning and customising foundation models. Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. Understanding of data governance, security, and compliance requirements. Experience developing AI solutions within large or regulated organisations. ...

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. ...

/LLMOps practices for deploying and monitoring AI systems in production Preferred Skills and Experience Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) and their production deployment Understanding of LLM governance: data privacy, guardrails, and responsible-use controls Experience guiding clients through legacy application ...

applications, with a focus on performance, governance and production deployment. Key Skills: Strong Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector … databases, embeddings and semantic search Event-driven architectures and REST APIs Docker, Kubernetes and AI microservices MLOps/LLMOps, AI governance and production troubleshooting Location: London, UK - hybrid working, with one day per week in the office. Contract: 12 months, with an excellent day rate available. For more ...

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 ...

Strong stakeholder communication, translating architecture into business outcomes for senior stakeholders Preferred Skills and Experience Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) and their production deployment Understanding of LLM governance: data privacy, guardrails, and responsible-use controls Track record defining and enforcing architectural ...

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 ...

product mindset Experience with CI/CD, automated testing, observability, and secure engineering practices Preferred Experience Agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or similar MCP, tool-calling, or function-calling workflows RAG, vector search, embeddings, or enterprise knowledge retrieval systems ...

Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open-source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof-of-concept development to assess feasibility and value. Deputising ...

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 ...

/API, MCP, skills, subagents or comparable agent frameworks.• Desirable Microsoft AI experience – Exposure to technologies such as Azure AI Foundry, Azure OpenAI, Semantic Kernel, AutoGen, Copilot Studio or related Microsoft AI capabilities.• Desirable enterprise AI experience – Knowledge of evaluation, observability, permissions, sandboxing, human oversight ...

data pipelines and production software practices. hands-on experience with LLMs, prompt engineering, retrieval-augmented generation and agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or comparable tools. experience with cloud and data platforms such as Azure, Databricks or similar environments. understanding of MLOps ...

data pipelines and production software practices. hands-on experience with LLMs, prompt engineering, retrieval-augmented generation and agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or comparable tools. experience with cloud and data platforms such as Azure, Databricks or similar environments. understanding of MLOps ...