1 to 25 of 29 Remote/Hybrid Permanent Semantic Kernel Jobs

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

endpoints, and data residency. Develop and deploy RAG‐based knowledge systems using Azure AI Search, Azure OpenAI Service, and relevant orchestration frameworks (LangChain, Semantic Kernel, or Prompt Flow). Design and implement AI agent architectures for orchestrating multi‐step insurance workflows (e.g. automated claims triage, document … team. Required Skills & Qualifications Python proficiency sufficient to build prototypes, review engineering output, and debug issues independently. Familiarity with orchestration frameworks: LangChain, Semantic Kernel, or Microsoft Prompt Flow. Hands‐on experience with Microsoft Azure AI Foundry Working knowledge of Azure DevOps or GitHub for managing ...

supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production … supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Technical Skills we valueFrontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility Backend: C#, ASP.NET ...

related field).Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).Exceptional skills in prompt engineering, assessing use cases for agentic feasibility, and converting complex workflows into logical, step … workflows.Preferred:M.S. or Ph.D. in a quantitative discipline.Leadership experience driving technology and investment teams.3+ years developing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).10+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.Experience with advanced retrieval-augmented generation ...

Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams to deliver intelligent product … outputs, improve reliability and implement guardrails and monitoring. Tech stack C# .NET 8/9 NET Core Azure Azure OpenAI OpenAI APIs Semantic Kernel Vector Databases SQL Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# ...

/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams to deliver intelligent product … outputs, improve reliability and implement guardrails and monitoring. Tech stack C# .NET 8/9 NET Core Azure Azure OpenAI OpenAI APIs Semantic Kernel Vector Databases SQL Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# ...

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 ...

engineering judgment, and a collaborative working style. Nice to have Experience 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 ...

make architectural decisions and communicate technical trade-offs clearly to non-technical stakeholders. Experience with Azure OpenAI, Azure AI Search, RAG, agentic workflows, Semantic Kernel or Microsoft Agent Framework, vector databases, evaluation frameworks and responsible AI controls would be particularly useful. Salary and benefits ...

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. ...

moved beyond experimenting with AI and can demonstrate something you've genuinely delivered into production. Experience with Azure OpenAI, Azure AI Search, RAG, Semantic Kernel, vector databases or Python-based AI tooling would be particularly valuable. What ...