> Markdown version of [/jobs/ext/4128981-ai-engineers-x2-microsoft-foundry-agentic-ai-c](https://www.wearedevelopers.com/jobs/ext/4128981-ai-engineers-x2-microsoft-foundry-agentic-ai-c). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineers (x2) - Microsoft Foundry | Agentic AI | C# - **Company:** Method Resourcing - **Location:** London, United Kingdom (Remote available) - **Experience:** Expert - **Salary:** £195,000 - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Python (Programming Language), Software Deployment, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Agentic-AI, Build Management, AutoGen, Semantic Kernel - **Published:** October 23, 2026 - **Apply:** https://www.methodresourcing.co.uk/job.asp?OP=b&VID=8801 ## About the Role * Strong hands-on experience building and deploying AI agents, ideally using Microsoft Foundry Agent Service. * Experience with agentic AI frameworks such as Semantic Kernel, LangGraph or AutoGen. * Strong Python and/or C# development skills, with C# particularly valuable for candidates without direct Foundry experience. * Experience working with Azure cloud services and enterprise AI architectures. * Understanding of agent orchestration, LLM integration and production deployment. * For the senior position, experience leading development activities and contributing to technical design. Direct Microsoft Foundry Agent Service experience is strongly preferred, although engineers with proven agent-building experience and strong C# skills will also be considered. ## Description * Design, build and deploy AI agents using Microsoft Foundry Agent Service or equivalent frameworks. * Contribute to technical architecture, solution design and implementation planning. * Develop agent orchestration, tool integrations and automated workflows. * Integrate AI agents with enterprise applications, APIs and data sources. * Collaborate with the Technical Lead to deliver scalable, production-ready solutions.