1 to 25 of 50 Semantic Kernel Jobs

by a Director of Technology, working alongside AI Engineers, an AI Product Manager, and top-tier developers focused on automating software migrations using cutting-edge tools like LangChain, Semantic Kernel, and Devin. This is a fantastic opportunity for a developer who thrives at the intersection of software engineering and AI tooling. The mission is to automate … to automate legacy system migrations (e.g., monoliths to microservices, .NET Framework to .NET Core). Collaborate with AI Engineers and the Head of Development to integrate LangChain or Semantic Kernel agents into migration workflows. Use platforms like Devin to orchestrate and automate repetitive development tasks. Build reusable utilities for parsing, transforming, and refactoring code across frontend … C#, .NET Core & one of Python/JavaScript/TypeScript. Experience modernising or migrating legacy systems (e.g., WinForms, WebForms, classic ASP). Familiarity with AI developer toolchains (LangChain, Semantic Kernel, Devin). Solid understanding of automation principles and system decomposition. Ability to work independently across varied platforms and repositories. Experience with cloud platforms (Azure, AWS, GCP More ❯

infrastructure , including Azure Functions and App Services Strengthen your software design skills by applying Domain-Driven Design (DDD) and Test-Driven Development (TDD) Explore emerging technology , such as Microsoft Semantic Kernel and Agent Framework Integrate with leading industry platforms , including opportunities to work with APIs such as Acturis Join a forward-thinking team that values high … tested, production-ready code with a strong TDD mindset Contribute to a collaborative team environment focused on continuous improvement Explore and potentially implement newer Microsoft frameworks such as Semantic Kernel Our Wishlist If you have experience in most of the following areas, we would love to hear from you: Proven expertise in backend development using ASP.NET … systems such as Azure Service Bus Knowledge of TDD and DDD principles in a commercial setting Exposure to Entity Framework for data persistence and migrations Bonus: Experience with Semantic Kernel or Microsoft Agent Framework Significant bonus: Familiarity with the insurance sector or experience working with Acturis APIs More ❯

such as Finetuning, Prompt engineering, prompt orchestration, retrieval methods (RAG and Knowledge graph techniques), Agentic Systems etc. Knowledge of Agentic frameworks such as LangGraph, Azure AI Foundry Agents, Semantic Kernel Agents etc. Knowledge of prompt orchestration and optimisation techniques such as Azure Semantic Kernel, Prompt flow etc. Skilled at working with AI More ❯

party services. Microsoft 365 & Graph API Integration Enable agents to access and reason over content in: SharePoint, OneDrive, Teams, Outlook, and Planner Architect multi-step agent workflows using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded … Power Platform/Agentic AI Engineer will have experience in: Copilot Studio, Power Automate, Power Apps, custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers … functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers More ❯

standards. Power Platform & Agentic AI Development Build conversational agents using Microsoft Copilot Studio. Develop Power Automate flows and Power Apps integrated with GenAI services. Architect agentic workflows using Semantic Kernel, Azure OpenAI, and Planner APIs. Integrate with Microsoft Graph, SharePoint, Teams, and Outlook for enterprise data access. Deploy solutions using AKS, Azure Container Apps, and enforce … AI/ML systems and secure product design. Hands-on experience with: Microsoft Power Platform (Copilot Studio, Power Automate, Power Apps) Azure AI Services, Microsoft Graph API, and Semantic Kernel Microsoft Purview for data governance and compliance Azure Key Vault, RBAC, CI/CD pipelines, and DevSecOps Programming proficiency in Python and/or C# Familiarity More ❯

language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph , Azure AI Foundry Agents , and Semantic Kernel Agents . Good understanding of software engineering best practices , including version control, testing, and CI/CD. Desirable Skills Experience creating optimised data workflows and scalable More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

integration, and building scalable AI systems) 1+ years of experience developing applications that leverage Generative AI Implementation approaches like LLM Prompt (or Data) Frameworks (LangChain/LlamaIndex/Semantic Kernel), Transformers/PyTorch frameworks, Retrieval-Augmented Generation (RAG), and API Integration via Chaining Agents (e.g. APIChain) 1+ years of experience designing and implementing benchmarks to measure More ❯

architecture principles. Experience translating business needs into technical designs and delivering in agile environments. Excellent communication and stakeholder engagement skills. Desirable Experience with Generative AI (LLMs, RAG, LangChain, Semantic Kernel). Microsoft Power Platform exposure. Front-end experience (React, Angular, or Vue.js). Familiarity with edge computing or VR/AR technologies. What You'll Bring More ❯

agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of telecoms Be part of a forward-thinking, collaborative team More ❯

automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering More ❯